Fetching the paper…
Reading the bibliography…
We introduce Gaussian Articulated Template Model GART, an explicit, efficient, and expressive representation for non-rigid articulated subject capturing and rendering from monocular videos.
Ewa splatting
Matthias Zwicker, Hanspeter Pfister, Jeroen Van Baar, and Markus Gross · 2002
Earlier work this paper cites.
What shape are dolphins? building 3d morphable models from 2d images
Thomas J Cashman and Andrew W Fitzgibbon · 2012
Earlier work this paper cites.
Learning a model of facial shape and expression from 4D scans
Tianye Li, Timo Bolkart, Michael. J. Black, Hao Li, and Javier Romero · 2017
Earlier work this paper cites.
Embodied hands: Modeling and capturing hands and bodies together
Javier Romero, Dimitrios Tzionas, and Michael J. Black · 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.
Detailed human avatars from monocular video
Thiemo Alldieck, Marcus Magnor, Weipeng Xu, Christian Theobalt, and Gerard Pons-Moll · 2018
Earlier work this paper cites.
Video based reconstruction of 3d people models
Thiemo Alldieck, Marcus Magnor, Weipeng Xu, Christian Theobalt, and Gerard Pons-Moll · 2018
Earlier work this paper cites.
End-to-end recovery of human shape and pose
Angjoo Kanazawa, Michael J Black, David W Jacobs, 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.
Creatures great and smal: Recovering the shape and motion of animals from video
Benjamin Biggs, Thomas Roddick, Andrew Fitzgibbon, and Roberto Cipolla · 2019
Earlier work this paper cites.
Livecap: Real-time human performance capture from monocular video
Marc Habermann, Weipeng Xu, Michael Zollhoefer, Gerard Pons-Moll, and Christian Theobalt · 2019
Earlier work this paper cites.
Learning to reconstruct 3d human pose and shape via model-fitting in the loop
Nikos Kolotouros, Georgios Pavlakos, Michael J Black, and Kostas Daniilidis · 2019
Earlier work this paper cites.
Soft rasterizer: A differentiable renderer for image-based 3d reasoning
Shichen Liu, Tianye Li, Weikai Chen, and Hao Li · 2019
Earlier work this paper cites.
AMASS: Archive of motion capture as surface shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, and Michael J. Black · 2019
Earlier work this paper cites.
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
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 AA Osman, Dimitrios Tzionas, and Michael J Black · 2019
Earlier work this paper cites.
Differentiable surface splatting for point-based geometry processing
Wang Yifan, Felice Serena, Shihao Wu, Cengiz Öztireli, and Olga Sorkine-Hornung · 2019
Earlier work this paper cites.
Dwnet: Dense warp-based network for pose-guided human video generation
Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao, and Leonid Sigal · 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 J Black · 2019
Earlier work this paper cites.
3d bird reconstruction: a dataset, model, and shape recovery from a single view
Marc Badger, Yufu Wang, Adarsh Modh, Ammon Perkes, Nikos Kolotouros, Bernd G Pfrommer, Marc F Schmidt, and Kostas Daniilidis · 2020
Earlier work this paper cites.
Who left the dogs out? 3d animal reconstruction with expectation maximization in the loop
Benjamin Biggs, Oliver Boyne, James Charles, Andrew Fitzgibbon, and Roberto Cipolla · 2020
Earlier work this paper cites.
Shape and viewpoint without keypoints
Shubham Goel, Angjoo Kanazawa, and Jitendra Malik · 2020
Earlier work this paper cites.
Deepcap: Monocular human performance capture using weak supervision
Marc Habermann, Weipeng Xu, Michael Zollhofer, Gerard Pons-Moll, and Christian Theobalt · 2020
Earlier work this paper cites.
Vibe: Video inference for human body pose and shape estimation
Muhammed Kocabas, Nikos Athanasiou, and Michael J Black · 2020
Earlier work this paper cites.
Modular primitives for high-performance differentiable rendering
Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, and Timo Aila · 2020
Earlier work this paper cites.
Pifuhd: Multi-level pixel-aligned implicit function for high-resolution 3d human digitization
Shunsuke Saito, Tomas Simon, Jason Saragih, and Hanbyul Joo · 2020
Earlier work this paper cites.
Implicit mesh reconstruction from unannotated image collections
Shubham Tulsiani, Nilesh Kulkarni, and Abhinav Gupta · 2020
Earlier work this paper cites.
Animatable neural radiance fields from monocular rgb videos
Jianchuan Chen, Ying Zhang, Di Kang, Xuefei Zhe, Linchao Bao, Xu Jia, and Huchuan Lu · 2021
Earlier work this paper cites.
Snarf: Differentiable forward skinning for animating non-rigid neural implicit shapes
Xu Chen, Yufeng Zheng, Michael J Black, Otmar Hilliges, and Andreas Geiger · 2021
Earlier work this paper cites.
Dynamic neural radiance fields for monocular 4d facial avatar reconstruction
Guy Gafni, Justus Thies, Michael Zollhofer, and Matthias Nießner · 2021
Earlier work this paper cites.
Real-time deep dynamic characters
Marc Habermann, Lingjie Liu, Weipeng Xu, Michael Zollhoefer, Gerard Pons-Moll, and Christian Theobalt · 2021
Earlier work this paper cites.
Arch++: Animation-ready clothed human reconstruction revisited
Tong He, Yuanlu Xu, Shunsuke Saito, Stefano Soatto, and Tony Tung · 2021
Cited alongside, same era.
Editable free-viewpoint video using a layered neural representation
Zhang Jiakai, Liu Xinhang, Ye Xinyi, Zhao Fuqiang, Zhang Yanshun, Wu Minye, Zhang Yingliang, Xu Lan, and Yu Jingyi · 2021
Cited alongside, same era.
Neural human performer: Learning generalizable radiance fields for human performance rendering
Youngjoong Kwon, Dahun Kim, Duygu Ceylan, and Henry Fuchs · 2021
Cited alongside, same era.
Neural human performer: Learning generalizable radiance fields for human performance rendering
Youngjoong Kwon, Dahun Kim, Duygu Ceylan, and Henry Fuchs · 2021
Cited alongside, same era.
Pulsar: Efficient sphere-based neural rendering
Christoph Lassner and Michael Zollhofer · 2021
Cited alongside, same era.
hsmal: Detailed horse shape and pose reconstruction for motion pattern recognition
Structured local radiance fields for human avatar modeling
Zerong Zheng, Han Huang, Tao Yu, Hongwen Zhang, Yandong Guo, and Yebin Liu · 2022
Later among the works it cites.
Fast-snarf: A fast deformer for articulated neural fields
Xu Chen, Tianjian Jiang, Jie Song, Max Rietmann, Andreas Geiger, Michael J Black, and Otmar Hilliges · 2023
Closest in time.
Text-to-3d using gaussian splatting
Zilong Chen, Feng Wang, and Huaping Liu · 2023
Closest in time.
Neural novel actor: Learning a generalized animatable neural representation for human actors
Qingzhe Gao, Yiming Wang, Libin Liu, Lingjie Liu, Christian Theobalt, and Baoquan Chen · 2023
Closest in time.
Learning neural volumetric representations of dynamic humans in minutes
Chen Geng, Sida Peng, Zhen Xu, Hujun Bao, and Xiaowei Zhou · 2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Ci Li, Nima Ghorbani, Sofia Broomé, Maheen Rashid, Michael J Black, Elin Hernlund, Hedvig Kjellström, and Silvia Zuffi · 2021
Cited alongside, same era.
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
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 · 2021
Cited alongside, same era.
Neural articulated radiance field
Atsuhiro Noguchi, Xiao Sun, Stephen Lin, and Tatsuya Harada · 2021
Cited alongside, same era.
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
Cited alongside, same era.
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
Cited alongside, same era.
A-nerf: Surface-free human 3d pose refinement via neural rendering
Shih-Yang Su, Frank Yu, Michael Zollhoefer, and Helge Rhodin · 2021
Cited alongside, same era.
Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran, Angjoo Kanazawa, and Jitendra Malik · 2023
Closest in time.
Vid2avatar: 3d avatar reconstruction from videos in the wild via self-supervised scene decomposition
Chen Guo, Tianjian Jiang, Xu Chen, Jie Song, and Otmar Hilliges · 2023
Closest in time.
Hdhumans: A hybrid approach for high-fidelity digital humans
Marc Habermann, Lingjie Liu, Weipeng Xu, Gerard Pons-Moll, Michael Zollhoefer, and Christian Theobalt · 2023
Closest in time.
Instantavatar: Learning avatars from monocular video in 60 seconds
Tianjian Jiang, Xu Chen, Jie Song, and Otmar Hilliges · 2023
Closest in time.
3d gaussian splatting for real-time radiance field rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis · 2023
Closest in time.
Flexible techniques for differentiable rendering with 3d gaussians
Leonid Keselman and Martial Hebert · 2023
Closest in time.
Deliffas: Deformable light fields for fast avatar synthesis
Youngjoong Kwon, Lingjie Liu, Henry Fuchs, Marc Habermann, and Christian Theobalt · 2023
Closest in time.
Smpl: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J Black · 2023
Closest in time.
Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis
Jonathon Luiten, Georgios Kopanas, Bastian Leibe, and Deva Ramanan · 2023
Closest in time.
Implicit neural representations with structured latent codes for human body modeling
Sida Peng, Chen Geng, Yuanqing Zhang, Yinghao Xu, Qianqian Wang, Qing Shuai, Xiaowei Zhou, and Hujun Bao · 2023
Closest in time.
Bite: Beyond priors for improved three-d dog pose estimation
Nadine Rüegg, Shashank Tripathi, Konrad Schindler, Michael J Black, and Silvia Zuffi · 2023
Closest in time.
Mvdream: Multi-view diffusion for 3d generation
Yichun Shi, Peng Wang, Jianglong Ye, Long Mai, Kejie Li, and Xiao Yang · 2023
Closest in time.
Trace: 5d temporal regression of avatars with dynamic cameras in 3d environments
Yu Sun, Qian Bao, Wu Liu, Tao Mei, and Michael J Black · 2023
Closest in time.
Dreamgaussian: Generative gaussian splatting for efficient 3d content creation
Jiaxiang Tang, Jiawei Ren, Hang Zhou, Ziwei Liu, and Gang Zeng · 2023
Closest in time.
Refit: Recurrent fitting network for 3d human recovery
Yufu Wang and Kostas Daniilidis · 2023
Closest in time.
4d gaussian splatting for real-time dynamic scene rendering
Guanjun Wu, Taoran Yi, Jiemin Fang, Lingxi Xie, Xiaopeng Zhang, Wei Wei, Wenyu Liu, Qi Tian, and Xinggang Wang · 2023
Closest in time.
Dove: Learning deformable 3d objects by watching videos
Shangzhe Wu, Tomas Jakab, Christian Rupprecht, and Andrea Vedaldi · 2023
Closest in time.
Magicpony: Learning articulated 3d animals in the wild
Shangzhe Wu, Ruining Li, Tomas Jakab, Christian Rupprecht, and Andrea Vedaldi · 2023
Closest in time.
4k4d: Real-time 4d view synthesis at 4k resolution
Zhen Xu, Sida Peng, Haotong Lin, Guangzhao He, Jiaming Sun, Yujun Shen, Hujun Bao, and Xiaowei Zhou · 2023
Closest in time.
Reconstructing animatable categories from videos
Gengshan Yang, Chaoyang Wang, N Dinesh Reddy, and Deva Ramanan · 2023
Closest in time.
Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction
Ziyi Yang, Xinyu Gao, Wen Zhou, Shaohui Jiao, Yuqing Zhang, and Xiaogang Jin · 2023
Closest in time.
Real-time photorealistic dynamic scene representation and rendering with 4d gaussian splatting
Zeyu Yang, Hongye Yang, Zijie Pan, Xiatian Zhu, and Li Zhang · 2023
Closest in time.
Gaussiandreamer: Fast generation from text to 3d gaussian splatting with point cloud priors
Taoran Yi, Jiemin Fang, Guanjun Wu, Lingxi Xie, Xiaopeng Zhang, Wenyu Liu, Qi Tian, and Xinggang Wang · 2023
Closest in time.
Monohuman: Animatable human neural field from monocular video
Zhengming Yu, Wei Cheng, Xian Liu, Wayne Wu, and Kwan-Yee Lin · 2023
Closest in time.
Pointavatar: Deformable point-based head avatars from videos
Yufeng Zheng, Wang Yifan, Gordon Wetzstein, Michael J Black, and Otmar Hilliges · 2023
Closest in time.
Drivable 3d gaussian avatars
Wojciech Zielonka, Timur Bagautdinov, Shunsuke Saito, Michael Zollhöfer, Justus Thies, and Javier Romero · 2023
Closest in time.
Instant volumetric head avatars
Wojciech Zielonka, Timo Bolkart, and Justus Thies · 2023
Closest in time.