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We present a method to estimate human motion in a global scene from moving cameras.
Statistical methods for tomographic image reconstruction
Stuart Geman and Donald E McClure · 1987
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Markerless motion capture with unsynchronized moving cameras
Nils Hasler, Bodo Rosenhahn, Thorsten Thormahlen, Michael Wand, Jürgen Gall, and Hans-Peter Seidel · 2009
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 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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Pose-conditioned joint angle limits for 3D human pose reconstruction
Ijaz Akhter and Michael J. Black · 2015
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Recurrent network models for human dynamics
Katerina Fragkiadaki, Sergey Levine, Panna Felsen, and Jitendra Malik · 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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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Keep it SMPL: Automatic estimation of 3D human pose and shape from a single image
Federica Bogo, Angjoo Kanazawa, Christoph Lassner, Peter Gehler, Javier Romero, and Michael J Black · 2016
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Structural-rnn: Deep learning on spatio-temporal graphs
Ashesh Jain, Amir R Zamir, Silvio Savarese, and Ashutosh Saxena · 2016
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Unite the people: Closing the loop between 3D and 2D human representations
Christoph Lassner, Javier Romero, Martin Kiefel, Federica Bogo, Michael J. Black, and Peter V. Gehler · 2017
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Auto-conditioned recurrent networks for extended complex human motion synthesis
Zimo Li, Yi Zhou, Shuangjiu Xiao, Chong He, Zeng Huang, and Hao Li · 2017
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On human motion prediction using recurrent neural networks
Julieta Martinez, Michael J Black, and Javier Romero · 2017
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Monocular 3d human pose estimation in the wild using improved cnn supervision
Dushyant Mehta, Helge Rhodin, Dan Casas, Pascal Fua, Oleksandr Sotnychenko, Weipeng Xu, and Christian Theobalt · 2017
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VNect: Real-time 3D human pose estimation with a single RGB camera
Dushyant Mehta, Srinath Sridhar, Oleksandr Sotnychenko, Helge Rhodin, Mohammad Shafiei, Hans-Peter Seidel, Weipeng Xu, Dan Casas, and Christian Theobalt · 2017
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Simultaneous multi-person detection and single-person pose estimation with a single heatmap regression network
Christian Payer, Thomas Neff, Horst Bischof, Martin Urschler, and Darko Stern · 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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Learning to generate long-term future via hierarchical prediction
Ruben Villegas, Jimei Yang, Yuliang Zou, Sungryull Sohn, Xunyu Lin, and Honglak Lee · 2017
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Hp-gan: Probabilistic 3d human motion prediction via gan
Emad Barsoum, John Kender, and Zicheng Liu · 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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End-to-end recovery of human shape and pose
Angjoo Kanazawa, Michael J. Black, David W. Jacobs, and Jitendra Malik · 2018
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Learning to estimate 3D human pose and shape from a single color image
Georgios Pavlakos, Luyang Zhu, Xiaowei Zhou, and Kostas Daniilidis · 2018
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Quaternet: A quaternion-based recurrent model for human motion
Dario Pavllo, David Grangier, and Michael Auli · 2018
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Recovering accurate 3d human pose in the wild using imus and a moving camera
Timo von Marcard, Roberto Henschel, Michael Black, Bodo Rosenhahn, and Gerard Pons-Moll · 2018
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Mt-vae: Learning motion transformations to generate multimodal human dynamics
Xinchen Yan, Akash Rastogi, Ruben Villegas, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap, Ersin Yumer, and Honglak Lee · 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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Deep network for the integrated 3d sensing of multiple people in natural images
Andrei Zanfir, Elisabeta Marinoiu, Mihai Zanfir, Alin-Ionut Popa, and Cristian Sminchisescu · 2018
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Structured prediction helps 3d human motion modelling
Emre Aksan, Manuel Kaufmann, and Otmar Hilliges · 2019
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A neural temporal model for human motion prediction
Anand Gopalakrishnan, Ankur Mali, Dan Kifer, Lee Giles, and Alexander G Ororbia · 2019
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HoloPose: Holistic 3d human reconstruction in-the-wild
Rıza Alp Guler and Iasonas Kokkinos · 2019
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Resolving 3d human pose ambiguities with 3d scene constraints
Mohamed Hassan, Vasileios Choutas, Dimitrios Tzionas, and Michael J Black · 2019
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Human motion prediction via spatio-temporal inpainting
Alejandro Hernandez, Jurgen Gall, and Francesc Moreno-Noguer · 2019
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Learning 3d human dynamics from video
Angjoo Kanazawa, Jason Y. Zhang, Panna Felsen, and Jitendra Malik · 2019
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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
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Convolutional mesh regression for single-image human shape reconstruction
Nikos Kolotouros, Georgios Pavlakos, and Kostas Daniilidis · 2019
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Learning the depths of moving people by watching frozen people
Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, and William T. Freeman · 2019
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AMASS: Archive of motion capture as surface shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, and Michael J. Black · 2019
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Camera distance-aware top-down approach for 3d multi-person pose estimation from a single rgb image
Gyeongsik Moon, Ju Yong Chang, and Kyoung Mu Lee · 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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Texturepose: Supervising human mesh estimation with texture consistency
Georgios Pavlakos, Nikos Kolotouros, and Kostas Daniilidis · 2019
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Cross view fusion for 3d human pose estimation
Haibo Qiu, Chunyu Wang, Jingdong Wang, Naiyan Wang, and Wenjun Zeng · 2019
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Delving deep into hybrid annotations for 3d human recovery in the wild
Yu Rong, Ziwei Liu, Cheng Li, Kaidi Cao, and Chen Change Loy · 2019
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Human mesh recovery from monocular images via a skeleton-disentangled representation
Yu Sun, Yun Ye, Wu Liu, Wenpeng Gao, Yili Fu, , and Tao Mei · 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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Denserac: Joint 3d pose and shape estimation by dense render-and-compare
Yuanlu Xu, Song-Chun Zhu, and Tony Tung · 2019
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Diverse trajectory forecasting with determinantal point processes
Ye Yuan and Kris Kitani · 2019
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https://hdrihaven.com/
Render People, 2020 · 2020
Cited alongside, same era.
Long-term human motion prediction with scene context
Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, and Jitendra Malik · 2020
Cited alongside, same era.
Pose2mesh: Graph convolutional network for 3d human pose and mesh recovery from a 2d human pose
Hongsuk Choi, Gyeongsik Moon, and Kyoung Mu Lee · 2020
Cited alongside, same era.
Task-generic hierarchical human motion prior using vaes
Jiaman Li, Ruben Villegas, Duygu Ceylan, Jimei Yang, Zhengfei Kuang, Hao Li, and Yajie Zhao · 2021
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Hybrik: A hybrid analytical-neural inverse kinematics solution for 3d human pose and shape estimation
Jiefeng Li, Chao Xu, Zhicun Chen, Siyuan Bian, Lixin Yang, and Cewu Lu · 2021
Later among the works it cites.
End-to-end human pose and mesh reconstruction with transformers
Kevin Lin, Lijuan Wang, and Zicheng Liu · 2021
Later among the works it cites.
4d human body capture from egocentric video via 3d scene grounding
Miao Liu, Dexin Yang, Yan Zhang, Zhaopeng Cui, James M Rehg, and Siyu Tang · 2021
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Dynamics-regulated kinematic policy for egocentric pose estimation
Zhengyi Luo, Ryo Hachiuma, Ye Yuan, and Kris Kitani · 2021
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On self contact and human pose
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Monocular expressive body regression through body-driven attention
Vasileios Choutas, Georgios Pavlakos, Timo Bolkart, Dimitrios Tzionas, and Michael J. Black · 2020
Cited alongside, same era.
Motion capture from internet videos
Junting Dong, Qing Shuai, Yuanqing Zhang, Xian Liu, Xiaowei Zhou, and Hujun Bao · 2020
Cited alongside, same era.
Compressed volumetric heatmaps for multi-person 3d pose estimation
Matteo Fabbri, Fabio Lanzi, Simone Calderara, Stefano Alletto, and Rita Cucchiara · 2020
Cited alongside, same era.
Robust motion in-betweening
Félix G Harvey, Mike Yurick, Derek Nowrouzezahrai, and Christopher Pal · 2020
Cited alongside, same era.
Weakly-supervised 3d human pose learning via multi-view images in the wild
Umar Iqbal, Pavlo Molchanov, and Jan Kautz · 2020
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Optical non-line-of-sight physics-based 3d human pose estimation
Mariko Isogawa, Ye Yuan, Matthew O’Toole, and Kris M Kitani · 2020
Cited alongside, same era.
Lea Müller, Ahmed A. A. Osman, Siyu Tang, Chun-Hao P. Huang, and Michael J. Black · 2021
Later among the works it cites.
Action-conditioned 3d human motion synthesis with transformer vae
Mathis Petrovich, Michael J Black, and Gül Varol · 2021
Later among the works it cites.
Tessetrack: End-to-end learnable multi-person articulated 3d pose tracking
N. Dinesh Reddy, Laurent Guigues, Leonid Pischulini, Jayan Eledath, and Srinivasa Narasimhan · 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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Monocular, one-stage, regression of multiple 3d people
Yu Sun, Qian Bao, Wu Liu, Yili Fu, Michael J. Black, and Tao Mei · 2021
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DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
Zachary Teed and Jia Deng · 2021
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Holistic 3d human and scene mesh estimation from single view images
Zhenzhen Weng and Serena Yeung · 2021
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Physics-based human motion estimation and synthesis from videos
Kevin Xie, Tingwu Wang, Umar Iqbal, Yunrong Guo, Sanja Fidler, and Florian Shkurti · 2021
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Simpoe: Simulated character control for 3d human pose estimation
Ye Yuan, Shih-En Wei, Tomas Simon, Kris Kitani, and Jason Saragih · 2021
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Thundr: Transformer-based 3d human reconstruction with markers
Mihai Zanfir, Andrei Zanfir, Eduard Gabriel Bazavan, William T. Freeman, Rahul Sukthankar, and Cristian Sminchisescu · 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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Body meshes as points
Jianfeng Zhang, Dongdong Yu, Jun Hao Liew, Xuecheng Nie, and Jiashi Feng · 2021
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Learning motion priors for 4d human body capture in 3d scenes
Siwei Zhang, Yan Zhang, Federica Bogo, Marc Pollefeys, and Siyu Tang · 2021
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Lightweight multi-person total motion capture using sparse multi-view cameras
Yuxiang Zhang, Zhe Li, Liang An, Mengcheng Li, Tao Yu, and Yebin Liu · 2021
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Deepmulticap: Performance capture of multiple characters using sparse multiview cameras
Yang Zheng, Ruizhi Shao, Yuxiang Zhang, Tao Yu, Zerong Zheng, Qionghai Dai, and Yebin Liu · 2021
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Monocular real-time full body capture with inter-part correlations
Yuxiao Zhou, Marc Habermann, Ikhsanul Habibie, Ayush Tewari, Christian Theobalt, and Feng Xu · 2021
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https://www.unrealengine.com/marketplace/en-US/content-cat/assets/environments/
Unreal Engine Marketplace, 2022 · 2022
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Hsc4d: Human-centered 4d scene capture in large-scale indoor-outdoor space using wearable imus and lidar
Yudi Dai, Yitai Lin, Chenglu Wen, Siqi Shen, Lan Xu, Jingyi Yu, Yuexin Ma, and Cheng Wang · 2022
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Trajectory optimization for physics-based reconstruction of 3d human pose from monocular video
Erik Gärtner, Mykhaylo Andriluka, Hongyi Xu, and Cristian Sminchisescu · 2022
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Nemf: Neural motion fields for kinematic animation
Chengan He, Jun Saito, James Zachary, Holly Rushmeier, and Yi Zhou · 2022
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Bodyslam: Joint camera localisation, mapping, and human motion tracking
Dorian F. Henning, Tristan Laidlow, and Stefan Leutenegger · 2022
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Capturing and inferring dense full-body human-scene contact
Chun-Hao P. Huang, Hongwei Yi, Markus Höschle, Matvey Safroshkin, Tsvetelina Alexiadis, Senya Polikovsky, Daniel Scharstein, and Michael J Black · 2022
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D &d: Learning human dynamics from dynamic camera
Jiefeng Li, Siyuan Bian, Chao Xu, Gang Liu, Gang Yu, and Cewu Lu · 2022
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Cliff: Carrying location information in full frames into human pose and shape estimation
Zhihao Li, Jianzhuang Liu, Zhensong Zhang, Songcen Xu, and Youliang Yan · 2022
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The one where they reconstructed 3d humans and environments in tv shows
Georgios Pavlakos, Ethan Weber, Matthew Tancik, and Angjoo Kanazawa · 2022
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Putting people in their place: Monocular regression of 3D people in depth
Yu Sun, Wu Liu, Qian Bao, Yili Fu, Tao Mei, and Michael J. Black · 2022
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Human motion diffusion model
Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Daniel Cohen-Or, and Amit H Bermano · 2022
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ViTPose: Simple vision transformer baselines for human pose estimation
Yufei Xu, Jing Zhang, Qiming Zhang, and Dacheng Tao · 2022
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Human-aware object placement for visual environment reconstruction
Hongwei Yi, Chun-Hao P Huang, Dimitrios Tzionas, Muhammed Kocabas, Mohamed Hassan, Siyu Tang, Justus Thies, and Michael J Black · 2022
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Glamr: Global occlusion-aware human mesh recovery with dynamic cameras
Ye Yuan, Umar Iqbal, Pavlo Molchanov, Kris Kitani, and Jan Kautz · 2022
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Physdiff: Physics-guided human motion diffusion model
Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, and Jan Kautz · 2022
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Motiondiffuse: Text-driven human motion generation with diffusion model
Mingyuan Zhang, Zhongang Cai, Liang Pan, Fangzhou Hong, Xinying Guo, Lei Yang, and Ziwei Liu · 2022
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Egobody: Human body shape and motion of interacting people from head-mounted devices
Siwei Zhang, Qianli Ma, Yan Zhang, Zhiyin Qian, Taein Kwon, Marc Pollefeys, Federica Bogo, and Siyu Tang · 2022
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Bytetrack: Multi-object tracking by associating every detection box
Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Fucheng Weng, Zehuan Yuan, Ping Luo, Wenyu Liu, and Xinggang Wang · 2022
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Sloper4d: A scene-aware dataset for global 4d human pose estimation in urban environments
Yudi Dai, YiTai Lin, XiPing Lin, Chenglu Wen, Lan Xu, Hongwei Yi, Siqi Shen, Yuexin Ma, and Cheng Wang · 2023
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Diffusion-based generation, optimization, and planning in 3d scenes
Siyuan Huang, Zan Wang, Puhao Li, Baoxiong Jia, Tengyu Liu, Yixin Zhu, Wei Liang, and Song-Chun Zhu · 2023
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Scene-aware 3d multi-human motion capture from a single camera
Diogo Luvizon, Marc Habermann, Vladislav Golyanik, Adam Kortylewski, and Christian Theobalt · 2023
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Decoupling human and camera motion from videos in the wild
Vickie Ye, Georgios Pavlakos, Jitendra Malik, and Angjoo Kanazawa · 2023
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