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We propose DeepMultiCap, a novel method for multi-person performance capture using sparse multi-view cameras.
Surface capture for performance-based animation
Jonathan Starck and Adrian Hilton · 2007
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Performance capture from sparse multi-view video
Edilson De Aguiar, Carsten Stoll, Christian Theobalt, Naveed Ahmed, Hans-Peter Seidel, and Sebastian Thrun · 2008
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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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Motion capture using joint skeleton tracking and surface estimation
Juergen Gall, Carsten Stoll, Edilson De Aguiar, Christian Theobalt, Bodo Rosenhahn, and Hans-Peter Seidel · 2009
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Dynamic shape capture using multi-view photometric stereo
Daniel Vlasic, Pieter Peers, Ilya Baran, Paul Debevec, Jovan Popović, Szymon Rusinkiewicz, and Wojciech Matusik · 2009
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Markerless motion capture of interacting characters using multi-view image segmentation
Yebin Liu, Carsten Stoll, Juergen Gall, Hans-Peter Seidel, and Christian Theobalt · 2011
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Scanning and tracking dynamic objects with commodity depth cameras
Mingsong Dou, Henry Fuchs, and Jan-Michael Frahm · 2013
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Markerless motion capture of multiple characters using multiview image segmentation
Yebin Liu, Juergen Gall, Carsten Stoll, Qionghai Dai, Hans-Peter Seidel, and Christian Theobalt · 2013
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3d pictorial structures for multiple human pose estimation
Vasileios Belagiannis, Sikandar Amin, Mykhaylo Andriluka, Bernt Schiele, Nassir Navab, and Slobodan Ilic · 2014
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High-quality streamable free-viewpoint video
Alvaro Collet, Ming Chuang, Pat Sweeney, Don Gillett, Dennis Evseev, David Calabrese, Hugues Hoppe, Adam Kirk, and Steve Sullivan · 2015
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Panoptic studio: A massively multiview system for social motion capture
Hanbyul Joo, Hao Liu, Lei Tan, Lin Gui, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, and Yaser Sheikh · 2015
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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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Fusion4d: Real-time performance capture of challenging scenes
Mingsong Dou, Sameh Khamis, Yury Degtyarev, Philip Davidson, Sean Ryan Fanello, Adarsh Kowdle, Sergio Orts Escolano, Christoph Rhemann, David Kim, Jonathan Taylor, et al · 2016
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Motion2fusion: Real-time volumetric performance capture
Mingsong Dou, Philip Davidson, Sean Ryan Fanello, Sameh Khamis, Adarsh Kowdle, Christoph Rhemann, Vladimir Tankovich, and Shahram Izadi · 2017
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Lcr-net: Localization-classification-regression for human pose
Gregory Rogez, Philippe Weinzaepfel, and Cordelia Schmid · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Residual attention network for image classification
Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, and Xiaoou Tang · 2017
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Bodyfusion: Real-time capture of human motion and surface geometry using a single depth camera
Tao Yu, Kaiwen Guo, Feng Xu, Yuan Dong, Zhaoqi Su, Jianhui Zhao, Jianguo Li, Qionghai Dai, and Yebin Liu · 2017
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Volumetric performance capture from minimal camera viewpoints
Andrew Gilbert, Marco Volino, John P. Collomosse, and Adrian Hilton · 2018
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Deep volumetric video from very sparse multi-view performance capture
Zeng Huang, Tianye Li, Weikai Chen, Yajie Zhao, Jun Xing, Chloe LeGendre, Linjie Luo, Chongyang Ma, and Hao Li · 2018
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Total capture: A 3d deformation model for tracking faces, hands, and bodies
Hanbyul Joo, Tomas Simon, and Yaser Sheikh · 2018
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Bodynet: Volumetric inference of 3d human body shapes
Gul Varol, Duygu Ceylan, Bryan Russell, Jimei Yang, Ersin Yumer, Ivan Laptev, and Cordelia Schmid · 2018
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Learning a discriminative feature network for semantic segmentation
Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, and Nong Sang · 2018
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Doublefusion: Real-time capture of human performances with inner body shapes from a single depth sensor
Tao Yu, Zerong Zheng, Kaiwen Guo, Jianhui Zhao, Qionghai Dai, Hao Li, Gerard Pons-Moll, and Yebin Liu · 2018
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Monocular 3d pose and shape estimation of multiple people in natural scenes - the importance of multiple scene constraints
Andrei Zanfir, Elisabeta Marinoiu, and Cristian Sminchisescu · 2018
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Context encoding for semantic segmentation
Hang Zhang, Kristin Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, and Amit Agrawal · 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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Multi-person 3d pose estimation and tracking in sports
Lewis Bridgeman, Marco Volino, Jean-Yves Guillemaut, and Adrian Hilton · 2019
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Second-order attention network for single image super-resolution
Tao Dai, Jianrui Cai, Yongbing Zhang, Shu-Tao Xia, and Lei Zhang · 2019
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Fast and robust multi-person 3d pose estimation from multiple views
Arch: Animatable reconstruction of clothed humans
Zeng Huang, Yuanlu Xu, Christoph Lassner, Hao Li, and Tony Tung · 2020
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Recursive bayesian filtering for multiple human pose tracking from multiple cameras
Oh-Hun Kwon, Julian Tanke, and Juergen Gall · 2020
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Self-correction for human parsing
Peike Li, Yunqiu Xu, Yunchao Wei, and Yi Yang · 2020
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Monocular real-time volumetric performance capture
Ruilong Li, Yuliang Xiu, Shunsuke Saito, Zeng Huang, Kyle Olszewski, and Hao Li · 2020
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Attention-aware multi-view stereo
Keyang Luo, Tao Guan, Lili Ju, Yuesong Wang, Zhuo Chen, and Yawei Luo · 2020
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Xnect: Real-time multi-person 3d motion capture with a single rgb camera
Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Mohamed Elgharib, Pascal Fua, Hans-Peter Seidel, Helge Rhodin, Gerard Pons-Moll, and Christian Theobalt · 2020
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Junting Dong, Wen Jiang, Qixing Huang, Hujun Bao, and Xiaowei Zhou · 2019
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Moulding humans: Non-parametric 3d human shape estimation from single images
Valentin Gabeur, Jean-Sébastien Franco, Xavier Martin, Cordelia Schmid, and Gregory Rogez · 2019
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The relightables: Volumetric performance capture of humans with realistic relighting
Kaiwen Guo, Peter Lincoln, Philip Davidson, Jay Busch, Xueming Yu, Matt Whalen, Geoff Harvey, Sergio Orts-Escolano, Rohit Pandey, Jason Dourgarian, et al · 2019
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Taichi: a language for high-performance computation on spatially sparse data structures
Yuanming Hu, Tzu-Mao Li, Luke Anderson, Jonathan Ragan-Kelley, and Frédo Durand · 2019
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Panoptic studio: A massively multiview system for social interaction capture
H Joo, T Simon, X Li, H Liu, L Tan, L Gui, S Banerjee, T Godisart, B Nabbe, I Matthews, et al · 2019
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Attention-guided unified network for panoptic segmentation
Yanwei Li, Xinze Chen, Zheng Zhu, Lingxi Xie, Guan Huang, Dalong Du, and Xingang Wang · 2019
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Siclope: Silhouette-based clothed people
Ryota Natsume, Shunsuke Saito, Zeng Huang, Weikai Chen, Chongyang Ma, Hao Li, and Shigeo Morishima · 2019
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Synergetic reconstruction from 2d pose and 3d motion for wide-space multi-person video motion capture in the wild
Takuya Ohashi, Yosuke Ikegami, and Yoshihiko Nakamura · 2020
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Pifuhd: Multi-level pixel-aligned implicit function for high-resolution 3d human digitization
Shunsuke Saito, Tomas Simon, Jason Saragih, and Hanbyul Joo · 2020
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Voxelpose: Towards multi-camera 3d human pose estimation in wild environment
Hanyue Tu, Chunyu Wang, and Wenjun Zeng · 2020
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4d association graph for realtime multi-person motion capture using multiple video cameras
Yuxiang Zhang, Liang An, Tao Yu, Xiu Li, Kun Li, and Yebin Liu · 2020
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Texmesh: Reconstructing detailed human texture and geometry from rgb-d video
Tiancheng Zhi, Christoph Lassner, Tony Tung, Carsten Stoll, Srinivasa G Narasimhan, and Minh Vo · 2020
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Driving-signal aware full-body avatars
Timur Bagautdinov, Chenglei Wu, Tomas Simon, Fabian Prada, Takaaki Shiratori, Shih-En Wei, Weipeng Xu, Yaser Sheikh, and Jason Saragih · 2021
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Intriguing properties of vision transformers
Naseer Muzammal et al · 2021
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Challencap: Monocular 3d capture of challenging human performances using multi-modal references
Yannan He, Anqi Pang, Xin Chen, Han Liang, Minye Wu, Yuexin Ma, and Lan Xu · 2021
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Multi-view multi-person 3d pose estimation with plane sweep stereo
Jiahao Lin and Gim Hee Lee · 2021
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Few-shot neural human performance rendering from sparse rgbd videos
Anqi Pang, Xin Chen, Haimin Luo, Minye Wu, Jingyi Yu, and Lan Xu · 2021
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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
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Doublefield: Bridging the neural surface and radiance fields for high-fidelity human rendering
Ruizhi Shao, Hongwen Zhang, He Zhang, Yanpei Cao, Tao Yu, and Yebin Liu · 2021
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Learning compositional radiance fields of dynamic human heads
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Function4d: Real-time human volumetric capture from very sparse consumer rgbd sensors
Tao Yu, Zerong Zheng, Kaiwen Guo, Pengpeng Liu, Qionghai Dai, and Yebin Liu · 2021
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Pymaf: 3d human pose and shape regression with pyramidal mesh alignment feedback loop
Hongwen Zhang, Yating Tian, Xinchi Zhou, Wanli Ouyang, Yebin Liu, Limin Wang, and Zhenan Sun · 2021
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Light-weight multi-person total capture using sparse multi-view cameras
Yuxiang Zhang, Zhe Li, Tao Yu, Liang Li, Mengcheng and An, and Yebin Liu · 2021
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Pamir: Parametric model-conditioned implicit representation for image-based human reconstruction
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