Fetching the paper…
Reading the bibliography…
Prior work for articulated 3D shape reconstruction often relies on specialized sensors (e.g., synchronized multi-camera systems), or pre-built 3D deformable models (e.g., SMAL or SMPL).
Recovering non-rigid 3d shape from image streams
Christoph Bregler, Aaron Hertzmann, and Henning Biermann · 2000
Earlier work this paper cites.
Photo tourism: exploring photo collections in 3d
Noah Snavely, Steven M Seitz, and Richard Szeliski · 2006
Earlier work this paper cites.
Particle video: Long-range motion estimation using point trajectories
Peter Sand and Seth Teller · 2008
Earlier work this paper cites.
Modeling the world from internet photo collections
Noah Snavely, Steven M Seitz, and Richard Szeliski · 2008
Earlier work this paper cites.
Articulated mesh animation from multi-view silhouettes
Daniel Vlasic, Ilya Baran, Wojciech Matusik, and Jovan Popović · 2008
Earlier work this paper cites.
Dense point trajectories by gpu-accelerated large displacement optical flow
Narayanan Sundaram, Thomas Brox, and Kurt Keutzer · 2010
Earlier work this paper cites.
Building rome in a day
Sameer Agarwal, Yasutaka Furukawa, Noah Snavely, Ian Simon, Brian Curless, Steven M Seitz, and Richard Szeliski · 2011
Earlier work this paper cites.
Non-rigid structure from motion with complementary rank-3 spaces
Paulo FU Gotardo and Aleix M Martinez · 2011
Earlier work this paper cites.
Skinning: Real-time shape deformation
Alec Jacobson, Zhigang Deng, Ladislav Kavan, and JP Lewis · 2014
Earlier work this paper cites.
SMPL: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J. Black · 2015
Earlier work this paper cites.
Structure-from-motion revisited
Johannes Lutz Schönberger and Jan-Michael Frahm · 2016
Earlier work this paper cites.
Pixelwise view selection for unstructured multi-view stereo
Johannes Lutz Schönberger, Enliang Zheng, Marc Pollefeys, and Jan-Michael Frahm · 2016
Earlier work this paper cites.
End-to-end learning of geometry and context for deep stereo regression
Alex Kendall, Hayk Martirosyan, Saumitro Dasgupta, Peter Henry, Ryan Kennedy, Abraham Bachrach, and Adam Bry · 2017
Earlier work this paper cites.
Hide-and-seek: Forcing a network to be meticulous for weakly-supervised object and action localization
Krishna Kumar Singh and Yong Jae Lee · 2017
Earlier work this paper cites.
3D menagerie: Modeling the 3D shape and pose of animals
Silvia Zuffi, Angjoo Kanazawa, David Jacobs, and Michael J. Black · 2017
Earlier work this paper cites.
Learning category-specific mesh reconstruction from image collections
Angjoo Kanazawa, Shubham Tulsiani, Alexei A. Efros, and Jitendra Malik · 2018
Earlier work this paper cites.
Lions and tigers and bears: Capturing non-rigid, 3D, articulated shape from images
Silvia Zuffi, Angjoo Kanazawa, and Michael J. Black · 2018
Earlier work this paper cites.
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
Earlier work this paper cites.
Deep non-rigid structure from motion
Chen Kong and Simon Lucey · 2019
Earlier work this paper cites.
Human pose regression by combining indirect part detection and contextual information
Diogo C Luvizon, Hedi Tabia, and David Picard · 2019
Earlier work this paper cites.
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
Earlier work this paper cites.
What do single-view 3d reconstruction networks learn?
Maxim Tatarchenko, Stephan R Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, and Thomas Brox · 2019
Earlier work this paper cites.
Monocular total capture: Posing face, body, and hands in the wild
Donglai Xiang, Hanbyul Joo, and Yaser Sheikh · 2019
Earlier work this paper cites.
Denserac: Joint 3d pose and shape estimation by dense render-and-compare
Yuanlu Xu, Song-Chun Zhu, and Tony Tung · 2019
Earlier work this paper cites.
Volumetric correspondence networks for optical flow
Gengshan Yang and Deva Ramanan · 2019
Earlier work this paper cites.
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
Cited alongside, same era.
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
Cited alongside, same era.
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
Cited alongside, same era.
Shape and viewpoints without keypoints
Shubham Goel, Angjoo Kanazawa, and Jitendra Malik · 2020
Cited alongside, same era.
Pointrend: Image segmentation as rendering
Alexander Kirillov, Yuxin Wu, Kaiming He, and Ross Girshick · 2020
Cited alongside, same era.
Vibe: Video inference for human body pose and shape estimation
Barf: Bundle-adjusting neural radiance fields
Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, and Simon Lucey · 2021
Closest in time.
Neural actor: Neural free-view synthesis of human actors with pose control
Lingjie Liu, Marc Habermann, Viktor Rudnev, Kripasindhu Sarkar, Jiatao Gu, and Christian Theobalt · 2021
Closest in time.
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
Closest in time.
Gnerf: Gan-based neural radiance field without posed camera
Quan Meng, Anpei Chen, Haimin Luo, Minye Wu, Hao Su, Lan Xu, Xuming He, and Jingyi Yu · 2021
Closest in time.
Discovering relationships between object categories via universal canonical maps
Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotny, and Andrea Vedaldi · 2021
Closest in time.
Neural articulated radiance field
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Muhammed Kocabas, Nikos Athanasiou, and Michael J. Black · 2020
Cited alongside, same era.
Articulation-aware canonical surface mapping
Nilesh Kulkarni, Abhinav Gupta, David F Fouhey, and Shubham Tulsiani · 2020
Cited alongside, same era.
Non-rigid structure from motion: Prior-free factorization method revisited
Suryansh Kumar · 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.
Atsuhiro Noguchi, Xiao Sun, Stephen Lin, and Tatsuya Harada · 2021
Closest in time.
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
Closest in time.
Hypernerf: A higher-dimensional representation for topologically varying neural radiance fields
Keunhong Park, Utkarsh Sinha, Peter Hedman, Jonathan T. Barron, Sofien Bouaziz, Dan B Goldman, Ricardo Martin-Brualla, and Steven M. Seitz · 2021
Closest in time.
Animatable neural radiance fields for modeling dynamic human bodies
Sida Peng, Junting Dong, Qianqian Wang, Shangzhan Zhang, Qing Shuai, Xiaowei Zhou, and Hujun Bao · 2021
Closest in time.
Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans
Sida Peng, Yuanqing Zhang, Yinghao Xu, Qianqian Wang, Qing Shuai, Hujun Bao, and Xiaowei Zhou · 2021
Closest in time.
SCANimate: Weakly supervised learning of skinned clothed avatar networks
Shunsuke Saito, Jinlong Yang, Qianli Ma, and Michael J. Black · 2021
Closest in time.
A-nerf: Articulated neural radiance fields for learning human shape, appearance, and pose
Shih-Yang Su, Frank Yu, Michael Zollhöfer, and Helge Rhodin · 2021
Closest in time.
iMAP: Implicit mapping and positioning in real-time
Edgar Sucar, Shikun Liu, Joseph Ortiz, and Andrew Davison · 2021
Closest in time.
Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras
Zachary Teed and Jia Deng · 2021
Closest in time.
Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video
Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Christoph Lassner, and Christian Theobalt · 2021
Closest in time.
Neural trajectory fields for dynamic novel view synthesis
Chaoyang Wang, Ben Eckart, Simon Lucey, and Orazio Gallo · 2021
Closest in time.
Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction
Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, and Wenping Wang · 2021
Closest in time.
Nerf–: Neural radiance fields without known camera parameters
Zirui Wang, Shangzhe Wu, Weidi Xie, Min Chen, and Victor Adrian Prisacariu · 2021
Closest in time.
Dove: Learning deformable 3d objects by watching videos
Shangzhe Wu, Tomas Jakab, Christian Rupprecht, and Andrea Vedaldi · 2021
Closest in time.
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
Closest in time.
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
Closest in time.
Volume rendering of neural implicit surfaces
Lior Yariv, Jiatao Gu, Yoni Kasten, and Yaron Lipman · 2021
Closest in time.
Shelf-supervised mesh prediction in the wild
Yufei Ye, Shubham Tulsiani, and Abhinav Gupta · 2021
Closest in time.
NeRS: Neural reflectance surfaces for sparse-view 3d reconstruction in the wild
Jason Y. Zhang, Gengshan Yang, Shubham Tulsiani, and Deva Ramanan · 2021
Closest in time.