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We investigate the use of Neural Radiance Fields (NeRF) to learn high quality 3D object category models from collections of input images.
A morphable model for the synthesis of 3D faces
Volker Blanz and Thomas Vetter · 1999
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Figure/ground assignment in natural images
Xiaofeng Ren, Charless C Fowlkes, and Jitendra Malik · 2006
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Compositional pattern producing networks: A novel abstraction of development
Kenneth O Stanley · 2007
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Reconstructing PASCAL VOC
Sara Vicente, Joao Carreira, Lourdes Agapito, and Jorge Batista · 2014
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ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, and Fisher Yu · 2015
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Category-specific object reconstruction from a single image
Abhishek Kar, Shubham Tulsiani, Joao Carreira, and Jitendra Malik · 2015
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3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
Christopher B Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, and Silvio Savarese · 2016
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Structure-from-motion revisited
Johannes Lutz Schönberger and Jan-Michael Frahm · 2016
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3D shape induction from 2D views of multiple objects
Matheus Gadelha, Subhransu Maji, and Rui Wang · 2017
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Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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GANs trained by a two time-scale update rule converge to a local Nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Learning 3D object categories by looking around them
David Novotny, Diane Larlus, and Andrea Vedaldi · 2017
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Octree generating networks: Efficient convolutional architectures for high-resolution 3d outputs
M. Tatarchenko, A. Dosovitskiy, and T. Brox · 2017
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Silnet : Single- and multi-view reconstruction by learning from silhouettes
Olivia Wiles and Andrew Zisserman · 2017
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Semantic amodal segmentation
Yan Zhu, Yuandong Tian, Dimitris Metaxas, and Piotr Dollár · 2017
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Optimizing the latent space of generative networks
Piotr Bojanowski, Armand Joulin, David Lopez-Pas, and Arthur Szlam · 2018
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Blender - a 3D modelling and rendering package
Blender Online Community · 2018
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Neural 3D Mesh Renderer
Yoshitaka Ushiku Hiroharu Kato and Tatsuya Harada · 2018
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Learning Category-Specific Mesh Reconstruction from Image Collections
Angjoo Kanazawa, Shubham Tulsiani, Alexei A. Efros, and Jitendra Malik · 2018
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Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
Nanyang Wang, Yinda Zhang, Zhuwen Li, Yanwei Fu, Wei Liu, and Yu-Gang Jiang · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Spinenet: Learning scale-permuted backbone for recognition and localization
Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V Le, and Xiaodan Song · 2020
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GeLaTO: Generative Latent Textured Objects
Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, and Dan B Goldman · 2020
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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng · 2020
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Latentfusion: End-to-end differentiable reconstruction and rendering for unseen object pose estimation
Keunhong Park, Arsalan Mousavian, Yu Xiang, and Dieter Fox · 2020
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Deformable neural radiance fields
Keunhong Park, Utkarsh Sinha, Jonathan T. Barron, Sofien Bouaziz, Dan B Goldman, Steven M. Seitz, and Ricardo Martin-Brualla · 2020
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Mesh R-CNN
Georgia Gkioxari, Jitendra Malik, and Justin Johnson · 2019
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Escaping plato’s cave: 3d shape from adversarial rendering
Philipp Henzler, Niloy J Mitra, and Tobias Ritschel · 2019
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Neural volumes: Learning dynamic renderable volumes from images
Stephen Lombardi, Tomas Simon, Jason Saragih, Gabriel Schwartz, Andreas Lehrmann, and Yaser Sheikh · 2019
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HoloGAN: Unsupervised Learning of 3D Representations From Natural Images
Thu Nguyen-Phuoc, Chuan Li, Lucas Theis, Christian Richardt, and Yong-Liang Yang · 2019
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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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DeepVoxels: Learning Persistent 3D Feature Embeddings
Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, and Michael Zollhöfer · 2019
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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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Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, and Ren Ng · 2020
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State of the Art on Neural Rendering
A. Tewari, O. Fried, J. Thies, V. Sitzmann, S. Lombardi, K. Sunkavalli, R. Martin-Brualla, T. Simon, J. Saragih, M. Nießner, R. Pandey, S. Fanello, G. Wetzstein, J.-Y. Zhu, C. Theobalt, M. Agrawala, E. Shechtman, D. B Goldman, and M. Zollhöfer · 2020
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Unsupervised learning of probably symmetric deformable 3D objects from images in the wild
Shangzhe Wu, Christian Rupprecht, and Andrea Vedaldi · 2020
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Objectron: A large scale dataset of object-centric videos in the wild with pose annotations
Adel Ahmadyan, Liangkai Zhang, Jianing Wei, Artsiom Ablavatski, and Matthias Grundmann · 2021
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Unsupervised learning of 3d object categories from videos in the wild
Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, and David Novotny · 2021
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NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, and Daniel Duckworth · 2021
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GIRAFFE: Representing scenes as compositional generative neural feature fields
Michael Niemeyer and Andreas Geiger · 2021
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Shelf-supervised mesh prediction in the wild
Yufei Ye, Shubham Tulsiani, and Abhinav Gupta · 2021
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Star: Self-supervised tracking and reconstruction of rigid objects in motion with neural rendering
Wentao Yuan, Zhaoyang Lv, Tanner Schmidt, and Steven Lovegrove · 2021
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