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Generating 3D models lies at the core of computer graphics and has been the focus of decades of research.
3d shapenets: A deep representation for volumetric shapes
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The general and logical theory of automata
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Grammar variational autoencoder
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Theory of self-reproducing automata
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How long is the coast of britain? statistical self-similarity and fractional dimension
Mandelbrot B · 1967
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Mathematical models for cellular interactions in development i. filaments with one-sided inputs
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The fractal geometry of nature , vol. 1
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Statistical mechanics of cellular automata
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An image synthesizer
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Local surface interpolation with bézier patches
Shirman L. A., Sequin C. H · 1987
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Optical models for direct volume rendering
Max N · 1995
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Layered depth images
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Surfels: Surface elements as rendering primitives
Pfister H., Zwicker M., Van Baar J., Gross M · 2000
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Improving noise
Perlin K · 2002
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Ewa splatting
Zwicker M., Pfister H., Van Baar J., Gross M · 2002
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The princeton shape benchmark
Shilane P., Min P., Kazhdan M., Funkhouser T · 2004
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Cat head detection-how to effectively exploit shape and texture features
Zhang W., Sun J., Tang X · 2008
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Polygon mesh processing
Botsch M., Kobbelt L., Pauly M., Alliez P., Lévy B · 2010
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A large-scale hierarchical multi-view rgb-d object dataset
Lai K., Bo L., Ren X., Fox D · 2011
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The kit object models database: An object model database for object recognition, localization and manipulation in service robotics
Kasper A., Xue Z., Dillmann R · 2012
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Auto-encoding variational bayes
Kingma D. P., Welling M · 2013
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Parsing ikea objects: Fine pose estimation
Lim J. J., Pirsiavash H., Torralba A · 2013
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Generative adversarial nets
Goodfellow I., Pouget-Abadie J., Mirza M., Xu B., Warde-Farley D., Ozair S., Courville A., Bengio Y · 2014
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Opendr: An approximate differentiable renderer
Loper M. M., Black M. J · 2014
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Shrec’14 track: Large scale comprehensive 3d shape retrieval
Li B., Lu Y., Li C., Godil A., Schreck T., Aono M., Chen Q., Chowdhury N. K., Fang B., Furuya T., et al · 2014
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Bigbird: A large-scale 3d database of object instances
Singh A., Sha J., Narayan K. S., Achim T., Abbeel P · 2014
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Shapenet: An information-rich 3d model repository
Chang A. X., Funkhouser T., Guibas L., Hanrahan P., Huang Q., Li Z., Savarese S., Savva M., Song S., Su H., et al · 2015
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Benchmarking in manipulation research: The ycb object and model set and benchmarking protocols
Calli B., Walsman A., Singh A., Srinivasa S., Abbeel P., Dollar A. M · 2015
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Deep convolutional inverse graphics network
Kulkarni T. D., Whitney W. F., Kohli P., Tenenbaum J · 2015
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Deep learning face attributes in the wild
Liu Z., Luo P., Wang X., Tang X · 2015
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Voxnet: A 3d convolutional neural network for real-time object recognition
Maturana D., Scherer S · 2015
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Generative and discriminative voxel modeling with convolutional neural networks
Brock A., Lim T., Weston N · 2016
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3d-r2n2: A unified approach for single and multi-view 3d object reconstruction
Choy C. B., Xu D., Gwak J., Chen K., Savarese S · 2016
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Tutorial on variational autoencoders
Doersch C · 2016
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Image style transfer using convolutional neural networks
Gatys L. A., Ecker A. S., Bethge M · 2016
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Deepfashion: Powering robust clothes recognition and retrieval with rich annotations
Liu Z., Luo P., Qiu S., Wang X., Tang X · 2016
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Variational autoencoder for deep learning of images, labels and captions
Pu Y., Gan Z., Henao R., Yuan X., Li C., Stevens A., Carin L · 2016
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Multi-view 3d models from single images with a convolutional network
Tatarchenko M., Dosovitskiy A., Brox T · 2016
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Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
Wu J., Zhang C., Xue T., Freeman B., Tenenbaum J · 2016
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Thingi10k: A dataset of 10,000 3d-printing models
Zhou Q., Jacobson A · 2016
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View synthesis by appearance flow
Zhou T., Tulsiani S., Sun W., Malik J., Efros A. A · 2016
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
Dai A., Chang A. X., Savva M., Halber M., Funkhouser T., Nießner M · 2017
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3d shape induction from 2d views of multiple objects
Gadelha M., Maji S., Wang R · 2017
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Arbitrary style transfer in real-time with adaptive instance normalization
Huang X., Belongie S · 2017
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Soft 3d reconstruction for view synthesis
Penner E., Zhang L · 2017
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Learning representations and generative models for 3d point clouds
Achlioptas P., Diamanti O., Mitliagkas I., Guibas L · 2018
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Multi-chart generative surface modeling
Ben-Hamu H., Maron H., Kezurer I., Avineri G., Lipman Y · 2018
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Scancomplete: Large-scale scene completion and semantic segmentation for 3d scans
Dai A., Ritchie D., Bokeloh M., Reed S., Sturm J., Nießner M · 2018
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Unsupervised learning of shape and pose with differentiable point clouds
Insafutdinov E., Dosovitskiy A · 2018
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Image-to-voxel model translation with conditional adversarial networks
Knyaz V. A., Kniaz V. V., Remondino F · 2018
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Neural 3d mesh renderer
Kato H., Ushiku Y., Harada T · 2018
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Learning efficient point cloud generation for dense 3d object reconstruction
Lin C.-H., Kong C., Lucey S · 2018
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Deep appearance models for face rendering
Lombardi S., Saragih J., Simon T., Sheikh Y · 2018
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Paparazzi: surface editing by way of multi-view image processing
Liu H.-T. D., Tao M., Jacobson A · 2018
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Photoshape: Photorealistic materials for large-scale shape collections
Park K., Rematas K., Farhadi A., Seitz S. M · 2018
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A network architecture for point cloud classification via automatic depth images generation
Roveri R., Rahmann L., Oztireli C., Gross M · 2018
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Pix3d: Dataset and methods for single-image 3d shape modeling
Sun X., Wu J., Zhang X., Zhang Z., Zhang C., Xue T., Tenenbaum J. B., Freeman W. T · 2018
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Stereo magnification: Learning view synthesis using multiplane images
Zhou T., Tucker R., Flynn J., Fyffe G., Snavely N · 2018
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Visual object networks: Image generation with disentangled 3d representations
Zhu J.-Y., Zhang Z., Zhang C., Wu J., Torralba A., Tenenbaum J., Freeman B · 2018
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Tex2shape: Detailed full human body geometry from a single image
Alldieck T., Pons-Moll G., Theobalt C., Magnor M · 2019
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Image2stylegan: How to embed images into the stylegan latent space?
Abdal R., Qin Y., Wonka P · 2019
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Meshgan: Non-linear 3d morphable models of faces
Cheng S., Bronstein M., Zhou Y., Kotsia I., Pantic M., Zafeiriou S · 2019
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Text2shape: Generating shapes from natural language by learning joint embeddings
Chen K., Choy C. B., Savva M., Chang A. X., Funkhouser T., Savarese S · 2019
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Extreme view synthesis
Choi I., Gallo O., Troccoli A., Kim M. H., Kautz J · 2019
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Monocular neural image based rendering with continuous view control
Chen X., Song J., Hilliges O · 2019
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Learning implicit fields for generative shape modeling
Chen Z., Zhang H · 2019
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Deepview: View synthesis with learned gradient descent
Flynn J., Broxton M., Debevec P., DuVall M., Fyffe G., Overbeck R., Snavely N., Tucker R · 2019
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Learning shape templates with structured implicit functions
Genova K., Cole F., Vlasic D., Sarna A., Freeman W. T., Funkhouser T · 2019
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Sdm-net: Deep generative network for structured deformable mesh
Gao L., Yang J., Wu T., Yuan Y.-J., Fu H., Lai Y.-K., Zhang H · 2019
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Sdm-net: Deep generative network for structured deformable mesh
Gao L., Yang J., Wu T., Yuan Y.-J., Fu H., Lai Y.-K., Zhang H · 2019
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Taichi: a language for high-performance computation on spatially sparse data structures
Hu Y., Li T.-M., Anderson L., Ragan-Kelley J., Durand F · 2019
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Escaping plato’s cave: 3D shape from adversarial rendering
Henzler P., Mitra N. J., Ritschel T · 2019
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Escaping plato’s cave: 3d shape from adversarial rendering
Henzler P., Mitra N. J., Ritschel T · 2019
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A style-based generator architecture for generative adversarial networks
Karras T., Laine S., Aila T · 2019
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Soft rasterizer: A differentiable renderer for image-based 3d reasoning
Liu S., Li T., Chen W., Li H · 2019
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Local light field fusion: Practical view synthesis with prescriptive sampling guidelines
Mildenhall B., Srinivasan P. P., Ortiz-Cayon R., Kalantari N. K., Ramamoorthi R., Ng R., Kar A · 2019
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Mitsuba 2: A retargetable forward and inverse renderer
Nimier-David M., Vicini D., Zeltner T., Jakob W · 2019
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HoloGAN: Unsupervised learning of 3d representations from natural images
Nguyen-Phuoc T., Li C., Theis L., Richardt C., Yang Y.-L · 2019
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Texture fields: Learning texture representations in function space
Oechsle M., Mescheder L., Niemeyer M., Strauss T., Geiger A · 2019
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Deepsdf: Learning continuous signed distance functions for shape representation
Park J. J., Florence P., Straub J., Newcombe R., Lovegrove S · 2019
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Language models are unsupervised multitask learners
Radford A., Wu J., Child R., Luan D., Amodei D., Sutskever I., et al · 2019
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Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization
Saito S., Huang Z., Natsume R., Morishima S., Kanazawa A., Li H · 2019
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3d point cloud generative adversarial network based on tree structured graph convolutions
Shu D. W., Park S. W., Kwon J · 2019
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Pushing the boundaries of view extrapolation with multiplane images
Srinivasan P. P., Tucker R., Barron J. T., Ramamoorthi R., Ng R., Snavely N · 2019
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Deferred neural rendering: Image synthesis using neural textures
Thies J., Zollhöfer M., Nießner M · 2019
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Disn: Deep implicit surface network for high-quality single-view 3d reconstruction
Xu Q., Wang W., Ceylan D., Mech R., Neumann U · 2019
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Pointflow: 3d point cloud generation with continuous normalizing flows
Yang G., Huang X., Hao Z., Liu M.-Y., Belongie S., Hariharan B · 2019
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Pointflow: 3d point cloud generation with continuous normalizing flows
Yang G., Huang X., Hao Z., Liu M.-Y., Belongie S., Hariharan B · 2019
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Differentiable surface splatting for point-based geometry processing
Yifan W., Serena F., Wu S., Öztireli C., Sorkine-Hornung O · 2019
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Matryodshka: Real-time 6dof video view synthesis using multi-sphere images
Attal B., Ling S., Gokaslan A., Richardt C., Tompkin J · 2020
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Neural point-based graphics
Aliev K.-A., Sevastopolsky A., Kolos M., Ulyanov D., Lempitsky V · 2020
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Immersive light field video with a layered mesh representation
Broxton M., Flynn J., Overbeck R., Erickson D., Hedman P., Duvall M., Dourgarian J., Busch J., Whalen M., Debevec P · 2020
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Language models are few-shot learners
Brown T., Mann B., Ryder N., Subbiah M., Kaplan J. D., Dhariwal P., Neelakantan A., Shyam P., Sastry G., Askell A., et al · 2020
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Monocular expressive body regression through body-driven attention
Choutas V., Pavlakos G., Bolkart T., Tzionas D., Black M. J · 2020
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Bsp-net: Generating compact meshes via binary space partitioning
Chen Z., Tagliasacchi A., Zhang H · 2020
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Stargan v2: Diverse image synthesis for multiple domains
Choi Y., Uh Y., Yoo J., Ha J.-W · 2020
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Learning gradient fields for shape generation
Cai R., Yang G., Averbuch-Elor H., Hao Z., Belongie S., Snavely N., Hariharan B · 2020
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Neural point cloud rendering via multi-plane projection
Dai P., Zhang Y., Li Z., Liu S., Zeng B · 2020
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Curriculum deepsdf
Duan Y., Zhu H., Wang H., Yi L., Nevatia R., Guibas L. J · 2020
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Points2surf learning implicit surfaces from point clouds
Erler P., Guerrero P., Ohrhallinger S., Mitra N. J., Wimmer M · 2020
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3d morphable face models—past, present, and future
Egger B., Smith W. A., Tewari A., Wuhrer S., Zollhoefer M., Beeler T., Bernard F., Bolkart T., Kortylewski A., Romdhani S., et al · 2020
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Local deep implicit functions for 3d shape
Genova K., Cole F., Sud A., Sarna A., Funkhouser T · 2020
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Deep learning for 3d point clouds: A survey
Guo Y., Wang H., Hu Q., Liu H., Liu L., Bennamoun M · 2020
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Denoising diffusion probabilistic models
Ho J., Jain A., Abbeel P · 2020
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Differentiable rendering: A survey
Kato H., Beker D., Morariu M., Ando T., Matsuoka T., Kehl W., Gaidon A · 2020
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Discrete point flow networks for efficient point cloud generation
Klokov R., Boyer E., Verbeek J · 2020
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Analyzing and improving the image quality of StyleGAN
Karras T., Laine S., Aittala M., Hellsten J., Lehtinen J., Aila T · 2020
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Softflow: Probabilistic framework for normalizing flow on manifolds
Kim H., Lee H., Kang W. H., Lee J. Y., Kim N. S · 2020
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Neural sparse voxel fields
Liu L., Gu J., Zaw Lin K., Chua T.-S., Theobalt C · 2020
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Towards unsupervised learning of generative models for 3d controllable image synthesis
Liao Y., Schwarz K., Mescheder L., Geiger A · 2020
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Deep multi depth panoramas for view synthesis
Lin K.-E., Xu Z., Mildenhall B., Srinivasan P. P., Hold-Geoffroy Y., DiVerdi S., Sun Q., Sunkavalli K., Ramamoorthi R · 2020
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Egad! an evolved grasping analysis dataset for diversity and reproducibility in robotic manipulation
Morrison D., Corke P., Leitner J · 2020
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Nerf: Representing scenes as neural radiance fields for view synthesis
Mildenhall B., Srinivasan P. P., Tancik M., Barron J. T., Ramamoorthi R., Ng R · 2020
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Learning to dress 3d people in generative clothing
Ma Q., Yang J., Ranjan A., Pujades S., Pons-Moll G., Tang S., Black M. J · 2020
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Polygen: An autoregressive generative model of 3d meshes
Nash C., Ganin Y., Eslami S. A., Battaglia P · 2020
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Polygen: An autoregressive generative model of 3d meshes
Nash C., Ganin Y., Eslami S. A., Battaglia P · 2020
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Blockgan: Learning 3d object-aware scene representations from unlabelled images
Nguyen-Phuoc T. H., Richardt C., Mai L., Yang Y., Mitra N · 2020
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Star: Sparse trained articulated human body regressor
Osman A. A., Bolkart T., Black M. J · 2020
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Convolutional generation of textured 3d meshes
Pavllo D., Spinks G., Hofmann T., Moens M.-F., Lucchi A · 2020
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Free view synthesis
Riegler G., Koltun V · 2020
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GRAF: Generative radiance fields for 3d-aware image synthesis
Schwarz K., Liao Y., Niemeyer M., Geiger A · 2020
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3d photography using context-aware layered depth inpainting
Shih M.-L., Su S.-Y., Kopf J., Huang J.-B · 2020
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Pointgrow: Autoregressively learned point cloud generation with self-attention
Sun Y., Wang Y., Liu Z., Siegel J., Sarma S · 2020
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Pointgrow: Autoregressively learned point cloud generation with self-attention
Sun Y., Wang Y., Liu Z., Siegel J., Sarma S · 2020
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State of the art on neural rendering
Tewari A., Fried O., Thies J., Sitzmann V., Lombardi S., Sunkavalli K., Martin-Brualla R., Simon T., Saragih J., Nießner M., et al · 2020
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Patchnets: Patch-based generalizable deep implicit 3d shape representations
Tretschk E., Tewari A., Golyanik V., Zollhöfer M., Stoll C., Theobalt C · 2020
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Synsin: End-to-end view synthesis from a single image
Wiles O., Gkioxari G., Szeliski R., Johnson J · 2020
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Neural cages for detail-preserving 3d deformations
Yifan W., Aigerman N., Kim V. G., Chaudhuri S., Sorkine-Hornung O · 2020
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Adversarial autoencoders for compact representations of 3d point clouds
Zamorski M., Zięba M., Klukowski P., Nowak R., Kurach K., Stokowiec W., Trzciński T · 2020
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Objectron: A large scale dataset of object-centric videos in the wild with pose annotations
Ahmadyan A., Zhang L., Ablavatski A., Wei J., Grundmann M · 2021
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Nerd: Neural reflectance decomposition from image collections
Boss M., Braun R., Jampani V., Barron J. T., Liu C., Lensch H · 2021
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Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields
Barron J. T., Mildenhall B., Tancik M., Hedman P., Martin-Brualla R., Srinivasan P. P · 2021
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Dynamic surface function networks for clothed human bodies
Burov A., Nießner M., Thies J · 2021
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pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis
Chan E. R., Monteiro M., Kellnhofer P., Wu J., Wetzstein G · 2021
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pi-GAN: Periodic implicit generative adversarial networks for 3d-aware image synthesis
Chan E. R., Monteiro M., Kellnhofer P., Wu J., Wetzstein G · 2021
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Smplicit: Topology-aware generative model for clothed people
Corona E., Pumarola A., Alenya G., Pons-Moll G., Moreno-Noguer F · 2021
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MVSNeRF: Fast generalizable radiance field reconstruction from multi-view stereo
Chen A., Xu Z., Zhao F., Zhang X., Xiang F., Yu J., Su H · 2021
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Neural radiance flow for 4d view synthesis and video processing
Du Y., Zhang Y., Yu H.-X., Tenenbaum J. B., Wu J · 2021
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3d-future: 3d furniture shape with texture
Fu H., Jia R., Gao L., Gong M., Zhao B., Maybank S., Tao D · 2021
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Ad-nerf: Audio driven neural radiance fields for talking head synthesis
Guo Y., Chen K., Liang S., Liu Y.-J., Bao H., Zhang J · 2021
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Stylepeople: A generative model of fullbody human avatars
Grigorev A., Iskakov K., Ianina A., Bashirov R., Zakharkin I., Vakhitov A., Lempitsky V · 2021
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Fastnerf: High-fidelity neural rendering at 200fps
Garbin S. J., Kowalski M., Johnson M., Shotton J., Valentin J · 2021
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A review on generative adversarial networks: Algorithms, theory, and applications
Gui J., Sun Z., Wen Y., Tao D., Ye J · 2021
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Dynamic neural radiance fields for monocular 4D facial avatar reconstruction
Gafni G., Thies J., Zollhofer M., Nießner M · 2021
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Tm-net: Deep generative networks for textured meshes
Gao L., Wu T., Yuan Y.-J., Lin M.-X., Lai Y.-K., Zhang H · 2021
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Worldsheet: Wrapping the world in a 3d sheet for view synthesis from a single image
Hu R., Ravi N., Berg A. C., Pathak D · 2021
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Unsupervised learning of 3d object categories from videos in the wild
Henzler P., Reizenstein J., Labatut P., Shapovalov R., Ritschel T., Vedaldi A., Novotny D · 2021
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Learning to stylize novel views
Huang H.-P., Tseng H.-Y., Saini S., Singh M., Yang M.-H · 2021
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Pathdreamer: A world model for indoor navigation
Koh J. Y., Lee H., Yang Y., Baldridge J., Anderson P · 2021
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Point-based neural rendering with per-view optimization
Kopanas G., Philip J., Leimkühler T., Drettakis G · 2021
Cited alongside, same era.
Nerf-vae: A geometry aware 3d scene generative model
Kosiorek A. R., Strathmann H., Zoran D., Moreno P., Schneider R., Mokrá S., Rezende D. J · 2021
DNF: Diffractive neural field for lensless microscopic imaging
Zhu H., Liu Z., Zhou Y., Ma Z., Cao X · 2022
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Learning consistency-aware unsigned distance functions progressively from raw point clouds
Zhou J., Ma B., Liu Y.-S., Fang Y., Han Z · 2022
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Nice-slam: Neural implicit scalable encoding for slam
Zhu Z., Peng S., Larsson V., Xu W., Bao H., Cui Z., Oswald M. R., Pollefeys M · 2022
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Modeling indirect illumination for inverse rendering
Zhang Y., Sun J., He X., Fu H., Jia R., Zhou X · 2022
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Lion: Latent point diffusion models for 3d shape generation
Zeng X., Vahdat A., Williams F., Gojcic Z., Litany O., Fidler S., Kreis K · 2022
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Cited alongside, same era.
Setvae: Learning hierarchical composition for generative modeling of set-structured data
Kim J., Yoo J., Lee J., Hong S · 2021
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Mine: Towards continuous depth mpi with nerf for novel view synthesis
Li J., Feng Z., She Q., Ding H., Wang C., Lee G. H · 2021
Cited alongside, same era.
Diffusion probabilistic models for 3d point cloud generation
Luo S., Hu W · 2021
Cited alongside, same era.
Neural actor: Neural free-view synthesis of human actors with pose control
Liu L., Habermann M., Rudnev V., Sarkar K., Gu J., Theobalt C · 2021
Cited alongside, same era.
Surfgen: Adversarial 3d shape synthesis with explicit surface discriminators
Luo A., Li T., Zhang W.-H., Lee T. S · 2021
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Barf: Bundle-adjusting neural radiance fields
Lin C.-H., Ma W.-C., Torralba A., Lucey S · 2021
Cited alongside, same era.
Zheng M., Yang H., Huang D., Chen L · 2022
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Single-image 3d human digitization with shape-guided diffusion
AlBahar B., Saito S., Tseng H.-Y., Kim C., Kopf J., Huang J.-B · 2023
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ClipFace: Text-guided editing of textured 3d morphable models
Aneja S., Thies J., Dai A., Nießner M · 2023
Later among the works it cites.
Gaussian shell maps for efficient 3d human generation
Abdal R., Yifan W., Shi Z., Xu Y., Po R., Kuang Z., Chen Q., Yeung D.-Y., Wetzstein G · 2023
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High-fidelity facial avatar reconstruction from monocular video with generative priors
Bai Y., Fan Y., Wang X., Zhang Y., Sun J., Yuan C., Shan Y · 2023
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InstructPix2Pix: Learning to follow image editing instructions
Brooks T., Holynski A., Efros A. A · 2023
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Cc3d: Layout-conditioned generation of compositional 3d scenes
Bahmani S., Park J. J., Paschalidou D., Yan X., Wetzstein G., Guibas L., Tagliasacchi A · 2023
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Learning personalized high quality volumetric head avatars from monocular rgb videos
Bai Z., Tan F., Huang Z., Sarkar K., Tang D., Qiu D., Meka A., Du R., Dou M., Orts-Escolano S., et al · 2023
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SINE: Semantic-driven image-based nerf editing with prior-guided editing field
Bao C., Zhang Y., Yang B., Fan T., Yang Z., Bao H., Zhang G., Cui Z · 2023
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Dreamavatar: Text-and-shape guided 3d human avatar generation via diffusion models
Cao Y., Cao Y.-P., Han K., Shan Y., Wong K.-Y. K · 2023
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Fantasia3D: Disentangling geometry and appearance for high-quality text-to-3d content creation
Chen R., Chen Y., Jiao N., Jia K · 2023
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Diffdreamer: Towards consistent unsupervised single-view scene extrapolation with conditional diffusion models
Cai S., Chan E. R., Peng S., Shahbazi M., Obukhov A., Van Gool L., Wetzstein G · 2023
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Local-to-global registration for bundle-adjusting neural radiance fields
Chen Y., Chen X., Wang X., Zhang Q., Guo Y., Shan Y., Wang F · 2023
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Deep3dsketch+: Rapid 3d modeling from single free-hand sketches
Chen T., Fu C., Zang Y., Zhu L., Zhang J., Mao P., Sun L · 2023
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Single-stage diffusion nerf: A unified approach to 3d generation and reconstruction
Chen H., Gu J., Chen A., Tian W., Tu Z., Liu L., Su H · 2023
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Veri3d: Generative vertex-based radiance fields for 3d controllable human image synthesis
Chen X., Huang J., Bin Y., Yu L., Liao Y · 2023
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Diffusion models in vision: A survey
Croitoru F.-A., Hondru V., Ionescu R. T., Shah M · 2023
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Wildlight: In-the-wild inverse rendering with a flashlight
Cheng Z., Li J., Li H · 2023
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Luciddreamer: Domain-free generation of 3d gaussian splatting scenes
Chung J., Lee S., Nam H., Lee J., Lee K. M · 2023
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Sdfusion: Multimodal 3d shape completion, reconstruction, and generation
Cheng Y.-C., Lee H.-Y., Tulyakov S., Schwing A. G., Gui L.-Y · 2023
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Generative novel view synthesis with 3d-aware diffusion models
Chan E. R., Nagano K., Chan M. A., Bergman A. W., Park J. J., Levy A., Aittala M., De Mello S., Karras T., Wetzstein G · 2023
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Text2Tex: Text-driven texture synthesis via diffusion models
Chen D. Z., Siddiqui Y., Lee H.-Y., Tulyakov S., Nießner M · 2023
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Fewsol: A dataset for few-shot object learning in robotic environments
Chao Y.-W., Xiang Y., et al · 2023
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Cheng X., Yang T., Wang J., Li Y., Zhang L., Zhang J., Yuan L · 2023
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It3d: Improved text-to-3d generation with explicit view synthesis
Chen Y., Zhang C., Yang X., Cai Z., Yu G., Yang L., Lin G · 2023
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Nerdi: Single-view nerf synthesis with language-guided diffusion as general image priors
Deng C., Jiang C., Qi C. R., Yan X., Zhou Y., Guibas L., Anguelov D., et al · 2023
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Objaverse-xl: A universe of 10m+ 3d objects
Deitke M., Liu R., Wallingford M., Ngo H., Michel O., Kusupati A., Fan A., Laforte C., Voleti V., Gadre S. Y., et al · 2023
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Objaverse: A universe of annotated 3d objects
Deitke M., Schwenk D., Salvador J., Weihs L., Michel O., VanderBilt E., Schmidt L., Ehsani K., Kembhavi A., Farhadi A · 2023
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Hyperdiffusion: Generating implicit neural fields with weight-space diffusion
Erkoç Z., Ma F., Shan Q., Nießner M., Dai A · 2023
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Scenescape: Text-driven consistent scene generation
Fridman R., Abecasis A., Kasten Y., Dekel T · 2023
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Learning neural parametric head models
Giebenhain S., Kirschstein T., Georgopoulos M., Rünz M., Agapito L., Nießner M · 2023
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Contex-human: Free-view rendering of human from a single image with texture-consistent synthesis
Gao X., Li X., Zhang C., Zhang Q., Cao Y., Shan Y., Quan L · 2023
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Preserve your own correlation: A noise prior for video diffusion models
Ge S., Nah S., Liu G., Poon T., Tao A., Catanzaro B., Jacobs D., Huang J.-B., Liu M.-Y., Balaji Y · 2023
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3dgen: Triplane latent diffusion for textured mesh generation
Gupta A., Xiong W., Nie Y., Jones I., Oğuz B · 2023
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Text2room: Extracting textured 3d meshes from 2d text-to-image models
Höllein L., Cao A., Owens A., Johnson J., Nießner M · 2023
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Sherf: Generalizable human nerf from a single image
Hu S., Hong F., Pan L., Mei H., Yang L., Liu Z · 2023
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Humannorm: Learning normal diffusion model for high-quality and realistic 3d human generation
Huang X., Shao R., Zhang Q., Zhang H., Feng Y., Liu Y., Wang Q · 2023
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Instruct-NeRF2NeRF: Editing 3d scenes with instructions
Haque A., Tancik M., Efros A. A., Holynski A., Kanazawa A · 2023
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Dreamwaltz: Make a scene with complex 3d animatable avatars
Huang Y., Wang J., Zeng A., Cao H., Qi X., Shi Y., Zha Z.-J., Zhang L · 2023
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One-shot implicit animatable avatars with model-based priors
Huang Y., Yi H., Liu W., Wang H., Wu B., Wang W., Lin B., Zhang D., Cai D · 2023
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Tech: Text-guided reconstruction of lifelike clothed humans
Huang Y., Yi H., Xiu Y., Liao T., Tang J., Cai D., Thies J · 2023
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Inverting the imaging process by learning an implicit camera model
Huang X., Zhang Q., Feng Y., Li H., Wang Q · 2023
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Local implicit ray function for generalizable radiance field representation
Huang X., Zhang Q., Feng Y., Li X., Wang X., Wang Q · 2023
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Humangen: Generating human radiance fields with explicit priors
Jiang S., Jiang H., Wang Z., Luo H., Chen W., Xu L · 2023
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Nerfshop: Interactive editing of neural radiance fields
Jambon C., Kerbl B., Kopanas G., Diolatzis S., Drettakis G., Leimkühler T · 2023
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Shap-e: Generating conditional 3d implicit functions
Jun H., Nichol A · 2023
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Avatarcraft: Transforming text into neural human avatars with parameterized shape and pose control
Jiang R., Wang C., Zhang J., Chai M., He M., Chen D., Liao J · 2023
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Dreamhuman: Animatable 3d avatars from text
Kolotouros N., Alldieck T., Zanfir A., Bazavan E. G., Fieraru M., Sminchisescu C · 2023
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Vivid-1-to-3: Novel view synthesis with video diffusion models
Kwak J.-g., Dong E., Jin Y., Ko H., Mahajan S., Yi K. M · 2023
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Chupa: Carving 3d clothed humans from skinned shape priors using 2d diffusion probabilistic models
Kim B., Kwon P., Lee K., Lee M., Han S., Kim D., Joo H · 2023
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3d gaussian splatting for real-time radiance field rendering
Kerbl B., Kopanas G., Leimkühler T., Drettakis G · 2023
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NeRSemble: Multi-view radiance field reconstruction of human heads
Kirschstein T., Qian S., Giebenhain S., Walter T., Nießner M · 2023
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Holodiffusion: Training a 3d diffusion model using 2d images
Karnewar A., Vedaldi A., Novotny D., Mitra N. J · 2023
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Sweetdreamer: Aligning geometric priors in 2d diffusion for consistent text-to-3d
Li W., Chen R., Chen X., Tan P · 2023
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FocalDreamer: Text-driven 3d editing via focal-fusion assembly
Li Y., Dou Y., Shi Y., Lei Y., Chen X., Zhang Y., Zhou P., Ni B · 2023
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Diffusion-sdf: Text-to-shape via voxelized diffusion
Li M., Duan Y., Zhou J., Lu J · 2023
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Meshdiffusion: Score-based generative 3d mesh modeling
Liu Z., Feng Y., Black M. J., Nowrouzezahrai D., Paull L., Liu W · 2023
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SketchFaceNeRF: Sketch-based facial generation and editing in neural radiance fields
Lin G., Feng-Lin L., Shu-Yu C., Kaiwen J., Chunpeng L., Lai Y., Hongbo F · 2023
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Wonder3d: Single image to 3d using cross-domain diffusion
Long X., Guo Y.-C., Lin C., Liu Y., Dou Z., Liu L., Ma Y., Zhang S.-H., Habermann M., Theobalt C., et al · 2023
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Magic3d: High-resolution text-to-3d content creation
Lin C.-H., Gao J., Tang L., Takikawa T., Zeng X., Huang X., Kreis K., Fidler S., Liu M.-Y., Lin T.-Y · 2023
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Consistent123: One image to highly consistent 3d asset using case-aware diffusion priors
Lin Y., Han H., Gong C., Xu Z., Zhang Y., Li X · 2023
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ClimateNeRF: Physically-based neural rendering for extreme climate synthesis
Li Y., Lin Z.-H., Forsyth D., Huang J.-B., Wang S · 2023
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Syncdreamer: Generating multiview-consistent images from a single-view image
Liu Y., Lin C., Zeng Z., Long X., Liu L., Komura T., Wang W · 2023
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3d-aware face swapping
Li Y., Ma C., Yan Y., Zhu W., Yang X · 2023
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Instant3d: Fast text-to-3d with sparse-view generation and large reconstruction model
Li J., Tan H., Zhang K., Xu Z., Luan F., Xu Y., Hong Y., Sunkavalli K., Shakhnarovich G., Bi S · 2023
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Controllable mesh generation through sparse latent point diffusion models
Lyu Z., Wang J., An Y., Zhang Y., Lin D., Dai B · 2023
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Dynibar: Neural dynamic image-based rendering
Li Z., Wang Q., Cole F., Tucker R., Snavely N · 2023
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Zero-1-to-3: Zero-shot one image to 3d object
Liu R., Wu R., Van Hoorick B., Tokmakov P., Zakharov S., Vondrick C · 2023
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One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimization
Liu M., Xu C., Jin H., Chen L., Xu Z., Su H., et al · 2023
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Att3d: Amortized text-to-3d object synthesis
Lorraine J., Xie K., Zeng X., Lin C.-H., Takikawa T., Sharp N., Lin T.-Y., Liu M.-Y., Fidler S., Lucas J · 2023
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Gs-ir: 3d gaussian splatting for inverse rendering
Liang Z., Zhang Q., Feng Y., Shan Y., Jia K · 2023
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Humangaussian: Text-driven 3d human generation with gaussian splatting
Liu X., Zhan X., Tang J., Shan Y., Zeng G., Lin D., Liu X., Liu Z · 2023
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Generative ai meets 3d: A survey on text-to-3d in aigc era
Li C., Zhang C., Waghwase A., Lee L.-H., Rameau F., Yang Y., Bae S.-H., Hong C. S · 2023
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Realfusion: 360deg reconstruction of any object from a single image
Melas-Kyriazi L., Laina I., Rupprecht C., Vedaldi A · 2023
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SKED: Sketch-guided text-based 3d editing
Mikaeili A., Perel O., Safaee M., Cohen-Or D., Mahdavi-Amiri A · 2023
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Latent-nerf for shape-guided generation of 3d shapes and textures
Metzer G., Richardson E., Patashnik O., Giryes R., Cohen-Or D · 2023
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Latent-NeRF for shape-guided generation of 3d shapes and textures
Metzer G., Richardson E., Patashnik O., Giryes R., Cohen-Or D · 2023
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Diffrf: Rendering-guided 3d radiance field diffusion
Müller N., Siddiqui Y., Porzi L., Bulo S. R., Kontschieder P., Nießner M · 2023
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X-Mesh: Towards fast and accurate text-driven 3d stylization via dynamic textual guidance
Ma Y., Zhang X., Sun X., Ji J., Wang H., Jiang G., Zhuang W., Ji R · 2023
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DreamFusion: Text-to-3d using 2d diffusion
Poole B., Jain A., Barron J. T., Mildenhall B · 2023
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State of the art on diffusion models for visual computing
Po R., Yifan W., Golyanik V., Aberman K., Barron J. T., Bermano A. H., Chan E. R., Dekel T., Holynski A., Kanazawa A., et al · 2023
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Magic123: One image to high-quality 3d object generation using both 2d and 3d diffusion priors
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Dreambooth3d: Subject-driven text-to-3d generation
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Meshgpt: Generating triangle meshes with decoder-only transformers
Siddiqui Y., Alliegro A., Artemov A., Tommasi T., Sirigatti D., Rosov V., Dai A., Nießner M · 2023
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3d neural field generation using triplane diffusion
Shue J. R., Chan E. R., Po R., Ankner Z., Wu J., Wetzstein G · 2023
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Zero123++: a single image to consistent multi-view diffusion base model
Shi R., Chen H., Zhang Z., Liu M., Xu C., Wei X., Chen L., Zeng C., Su H · 2023
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Clip-sculptor: Zero-shot generation of high-fidelity and diverse shapes from natural language
Sanghi A., Fu R., Liu V., Willis K. D., Shayani H., Khasahmadi A. H., Sridhar S., Ritchie D · 2023
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Diffusion-based signed distance fields for 3d shape generation
Shim J., Kang C., Joo K · 2023
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Make-a-video: Text-to-video generation without text-video data
Singer U., Polyak A., Hayes T., Yin X., An J., Zhang S., Hu Q., Yang H., Ashual O., Gafni O., et al · 2023
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Next3D: Generative neural texture rasterization for 3d-aware head avatars
Sun J., Wang X., Wang L., Li X., Zhang Y., Zhang H., Liu Y · 2023
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Mvdream: Multi-view diffusion for 3d generation
Shi Y., Wang P., Ye J., Long M., Li K., Yang X · 2023
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Dreamcraft3d: Hierarchical 3d generation with bootstrapped diffusion prior
Sun J., Zhang B., Shao R., Wang L., Liu W., Xie Z., Liu Y · 2023
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Consistent view synthesis with pose-guided diffusion models
Tseng H.-Y., Li Q., Kim C., Alsisan S., Huang J.-B., Kopf J · 2023
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Sparf: Neural radiance fields from sparse and noisy poses
Truong P., Rakotosaona M.-J., Manhardt F., Tombari F · 2023
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Dreamgaussian: Generative gaussian splatting for efficient 3d content creation
Tang J., Ren J., Zhou H., Liu Z., Zeng G · 2023
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Make-it-3d: High-fidelity 3d creation from a single image with diffusion prior
Tang J., Wang T., Zhang B., Zhang T., Yi R., Ma L., Chen D · 2023
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Diffusion with forward models: Solving stochastic inverse problems without direct supervision
Tewari A., Yin T., Cazenavette G., Rezchikov S., Tenenbaum J. B., Durand F., Freeman W. T., Sitzmann V · 2023
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Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation
Wang H., Du X., Li J., Yeh R. A., Shakhnarovich G · 2023
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NeRF-Art: Text-driven neural radiance fields stylization
Wang C., Jiang R., Chai M., He M., Chen D., Liao J · 2023
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Neural point-based volumetric avatar: Surface-guided neural points for efficient and photorealistic volumetric head avatar
Wang C., Kang D., Cao Y., Bao L., Shan Y., Zhang S.-H · 2023
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Lp-dif: Learning local pattern-specific deep implicit function for 3d objects and scenes
Wang M., Liu Y.-S., Gao Y., Shi K., Fang Y., Han Z · 2023
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Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation
Wang Z., Lu C., Wang Y., Bao F., Li C., Su H., Zhu J · 2023
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Hyperdreamer: Hyper-realistic 3d content generation and editing from a single image
Wu T., Li Z., Yang S., Zhang P., Pan X., Wang J., Lin D., Liu Z · 2023
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Cad: Photorealistic 3d generation via adversarial distillation
Wan Z., Paschalidou D., Huang I., Liu H., Shen B., Xiang X., Liao J., Guibas L · 2023
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PET-NeuS: Positional encoding triplanes for neural surfaces
Wang Y., Skorokhodov I., Wonka P · 2023
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ObjectSDF++: Improved object-compositional neural implicit surfaces
Wu Q., Wang K., Li K., Zheng J., Cai J · 2023
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Omniobject3d: Large-vocabulary 3d object dataset for realistic perception, reconstruction and generation
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RODIN: A generative model for sculpting 3d digital avatars using diffusion
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Neurallift-360: Lifting an in-the-wild 2d photo to a 3d object with 360deg views
Xu D., Jiang Y., Wang P., Fan Z., Wang Y., Wang Z · 2023
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Get3dhuman: Lifting stylegan-human into a 3d generative model using pixel-aligned reconstruction priors
Xiong Z., Kang D., Jin D., Chen W., Bao L., Cui S., Han X · 2023
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OmniAvatar: Geometry-guided controllable 3d head synthesis
Xu H., Song G., Jiang Z., Zhang J., Shi Y., Liu J., Ma W., Feng J., Luo L · 2023
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Dmv3d: Denoising multi-view diffusion using 3d large reconstruction model
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A survey on deep generative 3d-aware image synthesis
Xia W., Xue J.-H · 2023
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Efficient 3d articulated human generation with layered surface volumes
Xu Y., Yifan W., Bergman A. W., Chai M., Zhou B., Wetzstein G · 2023
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Econ: Explicit clothed humans optimized via normal integration
Xiu Y., Yang J., Cao X., Tzionas D., Black M. J · 2023
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Xiang J., Yang J., Huang B., Tong X · 2023
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Dreamsparse: Escaping from plato’s cave with 2d frozen diffusion model given sparse views
Yoo P., Guo J., Matsuo Y., Gu S. S · 2023
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D-if: Uncertainty-aware human digitization via implicit distribution field
Yang X., Luo Y., Xiu Y., Wang W., Xu H., Fan Z · 2023
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Hifi-123: Towards high-fidelity one image to 3d content generation
Yu W., Yuan L., Cao Y.-P., Gao X., Li X., Quan L., Shan Y., Tian Y · 2023
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Instant volumetric head avatars
Zielonka W., Bolkart T., Thies J · 2023
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Avatarverse: High-quality & stable 3d avatar creation from text and pose
Zhang H., Chen B., Yang H., Qu L., Wang X., Chen L., Long C., Zhu F., Du K., Zheng M · 2023
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Nerf in the palm of your hand: Corrective augmentation for robotics via novel-view synthesis
Zhou A., Kim M. J., Wang L., Florence P., Finn C · 2023
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Text2nerf: Text-driven 3d scene generation with neural radiance fields
Zhang J., Li X., Wan Z., Wang C., Liao J · 2023
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Humanref: Single image to 3d human generation via reference-guided diffusion
Zhang J., Li X., Zhang Q., Cao Y., Shan Y., Liao J · 2023
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Locally attentional sdf diffusion for controllable 3d shape generation
Zheng X.-Y., Pan H., Wang P.-S., Tong X., Liu Y., Shum H.-Y · 2023
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DreamFace: Progressive generation of animatable 3d faces under text guidance
Zhang L., Qiu Q., Lin H., Zhang Q., Shi C., Yang W., Shi Y., Yang S., Xu L., Yu J · 2023
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Zhang B., Tang J., Niessner M., Wonka P · 2023
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Dreameditor: Text-driven 3d scene editing with neural fields
Zhuang J., Wang C., Liu L., Lin L., Li G · 2023
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Egoobjects: A large-scale egocentric dataset for fine-grained object understanding
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PointAvatar: Deformable point-based head avatars from videos
Zheng Y., Yifan W., Wetzstein G., Black M. J., Hilliges O · 2023
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Hifa: High-fidelity text-to-3d with advanced diffusion guidance
Zhu J., Zhuang P · 2023
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Anti-aliased neural implicit surfaces with encoding level of detail
Zhuang Y., Zhang Q., Feng Y., Zhu H., Yao Y., Li X., Cao Y.-P., Shan Y., Cao X · 2023
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Neai: A pre-convoluted representation for plug-and-play neural ambient illumination
Zhuang Y., Zhang Q., Wang X., Zhu H., Feng Y., Li X., Shan Y., Cao X · 2023
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Avatarstudio: High-fidelity and animatable 3d avatar creation from text
Zhang J., Zhang X., Zhang H., Liew J. H., Zhang C., Yang Y., Feng J · 2023
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Pyramid nerf: Frequency guided fast radiance field optimization
Zhu J., Zhu H., Zhang Q., Zhu F., Ma Z., Cao X · 2023
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Videocrafter2: Overcoming data limitations for high-quality video diffusion models, 2024
Chen H., Zhang Y., Cun X., Xia M., Wang X., Weng C., Shan Y · 2024
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TADA! text to animatable digital avatars
Liao T., Yi H., Xiu Y., Tang J., Huang Y., Thies J., Black M. J · 2024
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