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Building animatable 3D models is challenging due to the need for 3D scans, laborious registration, and manual rigging, which are difficult to scale to arbitrary categories.
On the analysis of accumulative difference pictures from image sequences of real world scenes
Ramesh Jain and H-H Nagel · 1979
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Marching cubes: A high resolution 3d surface construction algorithm
William E Lorensen and Harvey E Cline · 1987
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Scape: shape completion and animation of people
Dragomir Anguelov, Praveen Srinivasan, Daphne Koller, Sebastian Thrun, Jim Rodgers, and James Davis · 2005
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Skinning with dual quaternions
Ladislav Kavan, Steven Collins, Jiří Žára, and Carol O’Sullivan · 2007
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Articulated mesh animation from multi-view silhouettes
Daniel Vlasic, Ilya Baran, Wojciech Matusik, and Jovan Popović · 2008
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Background subtraction for freely moving cameras
Yaser Sheikh, Omar Javed, and Takeo Kanade · 2009
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Stretchable and twistable bones for skeletal shape deformation
Alec Jacobson and Olga Sorkine · 2011
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Faust: Dataset and evaluation for 3d mesh registration
Federica Bogo, Javier Romero, Matthew Loper, and Michael J Black · 2014
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Robust and accurate skeletal rigging from mesh sequences
Binh Huy Le and Zhigang Deng · 2014
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SMPL: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J. Black · 2015
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Density estimation using real nvp
Laurent Dinh, Jascha Sohl-Dickstein, and Samy Bengio · 2016
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The 2017 davis challenge on video object segmentation
Jordi Pont-Tuset, Federico Perazzi, Sergi Caelles, Pablo Arbeláez, Alexander Sorkine-Hornung, and Luc Van Gool · 2017
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3D menagerie: Modeling the 3D shape and pose of animals
Silvia Zuffi, Angjoo Kanazawa, David Jacobs, and Michael J. Black · 2017
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Creatures great and smal: Recovering the shape and motion of animals from video
Benjamin Biggs, Thomas Roddick, Andrew Fitzgibbon, and Roberto Cipolla · 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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Monoperfcap: Human performance capture from monocular video
Weipeng Xu, Avishek Chatterjee, Michael Zollhöfer, Helge Rhodin, Dushyant Mehta, Hans-Peter Seidel, and Christian Theobalt · 2018
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Lions and tigers and bears: Capturing non-rigid, 3D, articulated shape from images
Silvia Zuffi, Angjoo Kanazawa, and Michael J. Black · 2018
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Tex2shape: Detailed full human body geometry from a single image
Thiemo Alldieck, Gerard Pons-Moll, Christian Theobalt, and Marcus Magnor · 2019
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Interpolating between optimal transport and mmd using sinkhorn divergences
Jean Feydy, Thibault Séjourné, François-Xavier Vialard, Shun-ichi Amari, Alain Trouve, and Gabriel Peyré · 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
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Expressive body capture: 3d hands, face, and body from a single image
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, and Michael J. Black · 2019
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Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization
Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Angjoo Kanazawa, and Hao Li · 2019
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What do single-view 3d reconstruction networks learn?
Maxim Tatarchenko, Stephan R Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, and Thomas Brox · 2019
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Monocular total capture: Posing face, body, and hands in the wild
Donglai Xiang, Hanbyul Joo, and Yaser Sheikh · 2019
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Volumetric correspondence networks for optical flow
Gengshan Yang and Deva Ramanan · 2019
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Three-d safari: Learning to estimate zebra pose, shape, and texture from images “in the wild”
Silvia Zuffi, Angjoo Kanazawa, Tanya Berger-Wolf, and Michael Black · 2019
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3D bird reconstruction: a dataset, model, and shape recovery from a single view
Marc Badger, Yufu Wang, Adarsh Modh, Ammon Perkes, Nikos Kolotouros, Bernd Pfrommer, Marc Schmidt, and Kostas Daniilidis · 2020
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Who left the dogs out: 3D animal reconstruction with expectation maximization in the loop
Benjamin Biggs, Ollie Boyne, James Charles, Andrew Fitzgibbon, and Roberto Cipolla · 2020
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pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis
Eric Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, and Gordon Wetzstein · 2020
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From variational to deterministic autoencoders
Partha Ghosh, Medhi SM Sajjadi, Antonio Vergari, and Michael Black · 2020
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Shape and viewpoints without keypoints
Shubham Goel, Angjoo Kanazawa, and Jitendra Malik · 2020
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Pointrend: Image segmentation as rendering
Alexander Kirillov, Yuxin Wu, Kaiming He, and Ross Girshick · 2020
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Vibe: Video inference for human body pose and shape estimation
Muhammed Kocabas, Nikos Athanasiou, and Michael J. Black · 2020
Discovering relationships between object categories via universal canonical maps
Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotny, and Andrea Vedaldi · 2021
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Giraffe: Representing scenes as compositional generative neural feature fields
Michael Niemeyer and Andreas Geiger · 2021
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Watch it move: Unsupervised discovery of 3D joints for re-posing of articulated objects
Atsuhiro Noguchi, Umar Iqbal, Jonathan Tremblay, Tatsuya Harada, and Orazio Gallo · 2021
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Neural articulated radiance field
Atsuhiro Noguchi, Xiao Sun, Stephen Lin, and Tatsuya Harada · 2021
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Nerfies: Deformable neural radiance fields
Keunhong Park, Utkarsh Sinha, Jonathan T. Barron, Sofien Bouaziz, Dan B Goldman, Steven M. Seitz, and Ricardo Martin-Brualla · 2021
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Hypernerf: A higher-dimensional representation for topologically varying neural radiance fields
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Cited alongside, same era.
Volumetric human teleportation
Ruilong Li, Kyle Olszewski, Yuliang Xiu, Shunsuke Saito, Zeng Huang, and Hao Li · 2020
Cited alongside, same era.
Online adaptation for consistent mesh reconstruction in the wild
Xueting Li, Sifei Liu, Shalini De Mello, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, and Jan Kautz · 2020
Cited alongside, same era.
Self-supervised single-view 3d reconstruction via semantic consistency
Xueting Li, Sifei Liu, Kihwan Kim, Shalini De Mello, Varun Jampani, Ming-Hsuan Yang, and Jan Kautz · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Continuous surface embeddings
Natalia Neverova, David Novotny, Vasil Khalidov, Marc Szafraniec, Patrick Labatut, and Andrea Vedaldi · 2020
Cited alongside, same era.
D-NeRF: Neural Radiance Fields for Dynamic Scenes
Albert Pumarola, Enric Corona, Gerard Pons-Moll, and Francesc Moreno-Noguer · 2020
Cited alongside, same era.
Keunhong Park, Utkarsh Sinha, Peter Hedman, Jonathan T. Barron, Sofien Bouaziz, Dan B Goldman, Ricardo Martin-Brualla, and Steven M. Seitz · 2021
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Humor: 3d human motion model for robust pose estimation
Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, and Leonidas J. Guibas · 2021
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SCANimate: Weakly supervised learning of skinned clothed avatar networks
Shunsuke Saito, Jinlong Yang, Qianli Ma, and Michael J. Black · 2021
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A-nerf: Articulated neural radiance fields for learning human shape, appearance, and pose
Shih-Yang Su, Frank Yu, Michael Zollhöfer, and Helge Rhodin · 2021
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Nerf–: Neural radiance fields without known camera parameters
Zirui Wang, Shangzhe Wu, Weidi Xie, Min Chen, and Victor Adrian Prisacariu · 2021
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Dove: Learning deformable 3d objects by watching videos
Shangzhe Wu, Tomas Jakab, Christian Rupprecht, and Andrea Vedaldi · 2021
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Fig-nerf: Figure-ground neural radiance fields for 3d object category modelling
Christopher Xie, Keunhong Park, Ricardo Martin-Brualla, and Matthew Brown · 2021
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LASR: Learning articulated shape reconstruction from a monocular video
Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T Freeman, and Ce Liu · 2021
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Viser: Video-specific surface embeddings for articulated 3d shape reconstruction
Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Ce Liu, and Deva Ramanan · 2021
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Shelf-supervised mesh prediction in the wild
Yufei Ye, Shubham Tulsiani, and Abhinav Gupta · 2021
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Pamir: Parametric model-conditioned implicit representation for image-based human reconstruction
Zerong Zheng, Tao Yu, Yebin Liu, and Qionghai Dai · 2021
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Selfrecon: Self reconstruction your digital avatar from monocular video
Boyi Jiang, Yang Hong, Hujun Bao, and Juyong Zhang · 2022
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Cadex: Learning canonical deformation coordinate space for dynamic surface representation via neural homeomorphism
Jiahui Lei and Kostas Daniilidis · 2022
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Tava: Template-free animatable volumetric actors
Ruilong Li, Julian Tanke, Minh Vo, Michael Zollhofer, Jurgen Gall, Angjoo Kanazawa, and Christoph Lassner · 2022
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Walt: Watch and learn 2d amodal representation from time-lapse imagery
N. Dinesh Reddy, Robert Tamburo, and Srinivasa G. Narasimhan · 2022
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BARC: Learning to regress 3D dog shape from images by exploiting breed information
Nadine Rueegg, Silvia Zuffi, Konrad Schindler, and Michael J. Black · 2022
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HumanNeRF: Free-viewpoint rendering of moving people from monocular video
Chung-Yi Weng, Brian Curless, Pratul P. Srinivasan, Jonathan T. Barron, and Ira Kemelmacher-Shlizerman · 2022
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Magicpony: Learning articulated 3d animals in the wild
Shangzhe Wu, Ruining Li, Tomas Jakab, Christian Rupprecht, and Andrea Vedaldi · 2022
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Casa: Category-agnostic skeletal animal reconstruction
Yuefan Wu, Zeyuan Chen, Shaowei Liu Liu, Zhongzheng Ren, and Shenlong Wang · 2022
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ICON: Implicit Clothed humans Obtained from Normals
Yuliang Xiu, Jinlong Yang, Dimitrios Tzionas, and Michael J. Black · 2022
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Banmo: Building animatable 3d neural models from many casual videos
Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, and Hanbyul Joo · 2022
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Moda: Modeling deformable 3d objects from casual videos, 2023
Chaoyue Song, Tianyi Chen, Yiwen Chen, Jiacheng Wei, Chuan Sheng Foo, Fayao Liu, and Guosheng Lin · 2023
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