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Pose and motion priors are crucial for recovering realistic and accurate human motion from noisy observations.
Statistical methods for tomographic image reconstruction
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Hedvig Sidenbladh, Michael J. Black, and David J. Fleet · 2000
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Dirk Ormoneit, Hedvig Sidenbladh, Michael Black, and Trevor Hastie · 2000
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Pattern recognition and machine learning
Christopher M Bishop and Nasser M Nasrabadi · 2006
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Nonlinear equations
Jorge Nocedal and Stephen J Wright · 2006
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Physics-based person tracking using the anthropomorphic walker
Marcus Brubaker, David Fleet, and Aaron Hertzmann · 2010
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Seeing movement: On motion capture animation and james cameron’s avatar
Jenna Ng · 2012
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Digitization of cypriot folk dances
Efstathios Stavrakis, Andreas Aristidou, Maria Savva, Stephania Loizidou Himona, and Yiorgos Chrysanthou · 2012
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Diederik P Kingma and Max Welling · 2013
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Stochastic backpropagation and approximate inference in deep generative models
Danilo Jimenez Rezende, Shakir Mohamed, and Daan Wierstra · 2014
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Mosh: Motion and shape capture from sparse markers
Matthew Loper, Naureen Mahmood, and Michael J. Black · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 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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Generating sentences from a continuous space
Samuel R Bowman, Luke Vilnis, Oriol Vinyals, Andrew M Dai, Rafal Jozefowicz, and Samy Bengio · 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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Sparseness meets deepness: 3d human pose estimation from monocular video
Xiaowei Zhou, Menglong Zhu, Kosta Derpanis, and Kostas Daniilidis · 2016
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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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Learning from synthetic humans
Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev, and Cordelia Schmid · 2017
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A simple yet effective baseline for 3d human pose estimation
Julieta Martinez, Rayat Hossain, Javier Romero, and James J. Little · 2017
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Learning to fuse 2d and 3d image cues for monocular body pose estimation
Bugra Tekin, Pablo Márquez-Neila, Mathieu Salzmann, and Pascal Fua · 2017
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Realtime multi-person 2d pose estimation using part affinity fields
Zhe Cao, Tomas Simon, Shih-En Wei, and Yaser Sheikh · 2017
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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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A recurrent variational autoencoder for human motion synthesis
Ikhsanul Habibie, Daniel Holden, Jonathan Schwarz, Joseph Yearsley, and Taku Komura · 2017
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Embodied hands: Modeling and capturing hands and bodies together
Javier Romero, Dimitrios Tzionas, and Michael J. Black · 2017
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Realtime multi-person 2d pose estimation using part affinity fields
Zhe Cao, Tomas Simon, Shih-En Wei, and Yaser Sheikh · 2017
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Activity-conditioned continuous human pose estimation for performance analysis of athletes using the example of swimming
Moritz Einfalt, Dan Zecha, and Rainer Lienhart · 2018
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3d pose estimation oriented to the initialization of an augmented reality system applied to cultural heritage
Ricardo M Rodriguez, Rafael Aguilar, Santiago Uceda, and Benjamín Castañeda · 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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Hp-gan: Probabilistic 3d human motion prediction via gan
Emad Barsoum, John Kender, and Zicheng Liu · 2018
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Predicting athlete ground reaction forces and moments from spatio-temporal driven cnn models
William Robert Johnson, Jacqueline Alderson, David Lloyd, and Ajmal Mian · 2019
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Ai coach: Deep human pose estimation and analysis for personalized athletic training assistance
Jianbo Wang, Kai Qiu, Houwen Peng, Jianlong Fu, and Jianke Zhu · 2019
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Virtually trying on new clothing with arbitrary poses
Na Zheng, Xuemeng Song, Zhaozheng Chen, Linmei Hu, Da Cao, and Liqiang Nie · 2019
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Holistic++ scene understanding: Single-view 3d holistic scene parsing and human pose estimation with human-object interaction and physical commonsense
Yixin Chen, Siyuan Huang, Tao Yuan, Siyuan Qi, Yixin Zhu, and Song-Chun Zhu · 2019
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Exploiting temporal context for 3d human pose estimation in the wild
Anurag Arnab, Carl Doersch, and Andrew Zisserman · 2019
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Character controllers using motion vaes
Hung Yu Ling, Fabio Zinno, George Cheng, and Michiel van de Panne · 2020
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Metaverse for social good: A university campus prototype
Haihan Duan, Jiaye Li, Sizheng Fan, Zhonghao Lin, Xiao Wu, and Wei Cai · 2021
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Lik-Hang Lee, Tristan Braud, Pengyuan Zhou, Lin Wang, Dianlei Xu, Zijun Lin, Abhishek Kumar, Carlos Bermejo, and Pan Hui · 2021
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Action-conditioned 3D human motion synthesis with transformer VAE
Mathis Petrovich, Michael J. Black, and Gül Varol · 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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Expressive body capture: 3d hands, face, and body from a single image
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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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Occlusion-aware networks for 3d human pose estimation in video
Yu Cheng, Bo Yang, Bo Wang, Yan Wending, and Robby Tan · 2019
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Repnet: Weakly supervised training of an adversarial reprojection network for 3d human pose estimation
Bastian Wandt and Bodo Rosenhahn · 2019
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Holopose: Holistic 3d human reconstruction in-the-wild
Riza Alp Guler and Iasonas Kokkinos · 2019
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Danet: Decompose-and-aggregate network for 3d human shape and pose estimation
Hongwen Zhang, Jie Cao, Guo Lu, Wanli Ouyang, and Zhenan Sun · 2019
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Learning 3d human dynamics from video
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Revitalizing optimization for 3d human pose and shape estimation: A sparse constrained formulation
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Probabilistic modeling for human mesh recovery
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PARE: Part attention regressor for 3D human body estimation
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Hierarchical kinematic probability distributions for 3d human shape and pose estimation from images in the wild
Akash Sengupta, Ignas Budvytis, and Roberto Cipolla · 2021
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3d human motion estimation via motion compression and refinement
Zhengyi Luo, S. Alireza Golestaneh, and Kris M. Kitani · 2021
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Conditional directed graph convolution for 3d human pose estimation
Wenbo Hu, Changgong Zhang, Fangneng Zhan, Lei Zhang, and Tien-Tsin Wong · 2021
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Attention-based 3d human pose sequence refinement network
Do-Yeop Kim and Ju-Yong Chang · 2021
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Zhongang Cai, Mingyuan Zhang, Jiawei Ren, Chen Wei, Daxuan Ren, Jiatong Li, Zhengyu Lin, Haiyu Zhao, Shuai Yi, Lei Yang, et al · 2021
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Exemplar fine-tuning for 3d human model fitting towards in-the-wild 3d human pose estimation
Hanbyul Joo, Natalia Neverova, and Andrea Vedaldi · 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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Learning human motion prediction via stochastic differential equations
Kedi Lyu, Zhenguang Liu, Shuang Wu, Haipeng Chen, Xuhong Zhang, and Yuyu Yin · 2021
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A unified 3d human motion synthesis model via conditional variational auto-encoder
Yujun Cai, Yiwei Wang, Yiheng Zhu, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Chuanxia Zheng, Sijie Yan, Henghui Ding, Xiaohui Shen, Ding Liu, and Nadia Magnenat Thalmann · 2021
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Task-generic hierarchical human motion prior using vaes
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Robust face frontalization for visual speech recognition
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Dynamical variational autoencoders: A comprehensive review
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Humor: 3d human motion model for robust pose estimation
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DeepPhase: Periodic autoencoders for learning motion phase manifolds
Sebastian Starke, Ian Mason, and Taku Komura · 2022
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Pose-ndf: Modeling human pose manifolds with neural distance fields
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Woc: A handy webcam-based 3d online chatroom
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SUPR: A sparse unified part-based human representation
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Learned vertex descent: A new direction for 3d human model fitting
Enric Corona, Gerard Pons-Moll, Guillem Alenyà, and Francesc Moreno-Noguer · 2022
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Occluded human body capture with self-supervised spatial-temporal motion prior
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Glamr: Global occlusion-aware human mesh recovery with dynamic cameras
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Neural mocon: Neural motion control for physically plausible human motion capture
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Hit-dvae: Human motion generation via hierarchical transformer dynamical vae
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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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