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Generative models have shown great promise in synthesizing photorealistic 3D objects, but they require large amounts of training data.
The synthesis and rendering of eroded fractal terrains
F Kenton Musgrave, Craig E Kolb, and Robert S Mace · 1989
Earlier work this paper cites.
Optical models for direct volume rendering
N. Max · 1995
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Visual models of plants interacting with their environment
Radomír Měch and Przemyslaw Prusinkiewicz · 1996
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Procedural modeling of cities
Yoav IH Parish and Pascal Müller · 2001
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Texturing & modeling: a procedural approach
David S Ebert, F Kenton Musgrave, Darwyn Peachey, Ken Perlin, and Steven Worley · 2003
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Modeling by example
Thomas Funkhouser, Michael Kazhdan, Philip Shilane, Patrick Min, William Kiefer, Ayellet Tal, Szymon Rusinkiewicz, and David Dobkin · 2004
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Example-based synthesis of 3D object arrangements
Matthew Fisher, Daniel Ritchie, Manolis Savva, Thomas Funkhouser, and Pat Hanrahan · 2012
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A probabilistic model for component-based shape synthesis
Evangelos Kalogerakis, Siddhartha Chaudhuri, Daphne Koller, and Vladlen Koltun · 2012
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Fit and diverse: Set evolution for inspiring 3D shape galleries
Kai Xu, Hao Zhang, Daniel Cohen-Or, and Baoquan Chen · 2012
Earlier work this paper cites.
Structure-from-motion revisited
Johannes L Schonberger and Jan-Michael Frahm · 2016
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Matterport3D: Learning from RGB-D data in indoor environments
Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Niessner, Manolis Savva, Shuran Song, Andy Zeng, and Yinda Zhang · 2017
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Multimodal unsupervised image-to-image translation
Xun Huang, Ming-Yu Liu, Serge Belongie, and Jan Kautz · 2018
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Which training methods for GANs do actually converge?
Lars Mescheder, Andreas Geiger, and Sebastian Nowozin · 2018
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Deep convolutional priors for indoor scene synthesis
Kai Wang, Manolis Savva, Angel X Chang, and Daniel Ritchie · 2018
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Learning implicit fields for generative shape modeling
Zhiqin Chen and Hao Zhang · 2019
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Occupancy networks: Learning 3D reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
Earlier work this paper cites.
DeepSDF: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
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SinGAN: Learning a generative model from a single natural image
Tamar Rott Shaham, Tali Dekel, and Tomer Michaeli · 2019
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Scene representation networks: Continuous 3D-structure-aware neural scene representations
Vincent Sitzmann, Michael Zollhöfer, and Gordon Wetzstein · 2019
Earlier work this paper cites.
The Replica dataset: A digital replica of indoor spaces
Julian Straub, Thomas Whelan, Lingni Ma, Yufan Chen, Erik Wijmans, Simon Green, Jakob J Engel, Raul Mur-Artal, Carl Ren, Shobhit Verma, et al · 2019
Earlier work this paper cites.
On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2019
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Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2020
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Learning a neural 3D texture space from 2D exemplars
Philipp Henzler, Niloy J Mitra, and Tobias Ritschel · 2020
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Deep geometric texture synthesis
Amir Hertz, Rana Hanocka, Raja Giryes, and Daniel Cohen-Or · 2020
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Analyzing and improving the image quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
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Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas Guibas, Luc Van Gool, and Radu Timofte · 2022
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GAUDI: A neural architect for immersive 3D scene generation
Miguel Angel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, and Josh Susskind · 2022
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Efficient geometry-aware 3D generative adversarial networks
Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, and Gordon Wetzstein · 2022
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TensoRF: Tensorial radiance fields
Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, and Hao Su · 2022
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GRAM: Generative radiance manifolds for 3D-aware image generation
Yu Deng, Jiaolong Yang, Jianfeng Xiang, and Xin Tong · 2022
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Towards faster and stabilized GAN training for high-fidelity few-shot image synthesis
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GramGAN: Deep 3D texture synthesis from 2D exemplars
Tiziano Portenier, Siavash Arjomand Bigdeli, and Orcun Goksel · 2020
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GRAF: Generative radiance fields for 3D-aware image synthesis
Katja Schwarz, Yiyi Liao, Michael Niemeyer, and Andreas Geiger · 2020
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Implicit neural representations with periodic activation functions
Vincent Sitzmann, Julien N.P. Martel, Alexander W. Bergman, David B. Lindell, and Gordon Wetzstein · 2020
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Mip-NeRF: A multiscale representation for anti-aliasing neural radiance fields
Jonathan T Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P Srinivasan · 2021
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pi-GAN: Periodic implicit generative adversarial networks for 3D-aware image synthesis
Eric R Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, and Gordon Wetzstein · 2021
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Unconstrained scene generation with locally conditioned radiance fields
Terrance DeVries, Miguel Angel Bautista, Nitish Srivastava, Graham W. Taylor, and Joshua M. Susskind · 2021
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Diverse generation from a single video made possible
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GANimator: Neural motion synthesis from a single sequence
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BACON: Band-limited coordinate networks for multiscale scene representation
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Instant neural graphics primitives with a multiresolution hash encoding
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StyleSDF: High-resolution 3D-consistent image and geometry generation
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Disentangled3D: Learning a 3D generative model with disentangled geometry and appearance from monocular images
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SinGRAV: Learning a generative radiance volume from a single natural scene
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Learning to generate 3D shapes from a single example
Rundi Wu and Changxi Zheng · 2022
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GRAM-HD: 3D-consistent image generation at high resolution with generative radiance manifolds, 2022
Jianfeng Xiang, Jiaolong Yang, Yu Deng, and Xin Tong · 2022
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3D-aware image synthesis via learning structural and textural representations
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GIRAFFE HD: A high-resolution 3D-aware generative model
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Multi-view consistent generative adversarial networks for 3D-aware image synthesis
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3D neural field generation using triplane diffusion
J. R. Shue, E. R. Chan, R. Po, Z. Ankner, J. Wu, and G. Wetzstein · 2023
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