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Previous works on Human Pose and Shape Estimation (HPSE) from RGB images can be broadly categorized into two main groups: parametric and non-parametric approaches.
Inference of human postures by classification of 3d human body shape
Isaac Cohen and Hongxia Li · 2003
Earlier work this paper cites.
Scape: Shape completion and animation of people
Dragomir Anguelov, Praveen Srinivasan, Daphne Koller, Sebastian Thrun, Jim Rodgers, and James Davis · 2005
Earlier work this paper cites.
Head pose estimation: Classification or regression?
Guodong Guo, Yun Fu, Charles R Dyer, and Thomas S Huang · 2008
Earlier work this paper cites.
Hand pose estimation and hand shape classification using multi-layered randomized decision forests
Cem Keskin, Furkan Kıraç, Yunus Emre Kara, and Lale Akarun · 2012
Earlier work this paper cites.
Human3.6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
Catalin Ionescu, Dragos Papava, Vlad Olaru, and Cristian Sminchisescu · 2013
Earlier work this paper cites.
Face shape classification from 3d human data by using svm
Pornthep Sarakon, Theekapun Charoenpong, and Supiya Charoensiriwath · 2014
Earlier work this paper cites.
Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
Earlier work this paper cites.
2d human pose estimation: New benchmark and state of the art analysis
Mykhaylo Andriluka, Leonid Pishchulin, Peter Gehler, and Bernt Schiele · 2014
Earlier work this paper cites.
Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 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.
Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
Earlier work this paper cites.
Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
Earlier work this paper cites.
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
Earlier work this paper cites.
Mocap-guided data augmentation for 3d pose estimation in the wild
Grégory Rogez and Cordelia Schmid · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
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
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Neural discrete representation learning
Aaron Van Den Oord, Oriol Vinyals, et al · 2017
Earlier work this paper cites.
Learning from synthetic humans
Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev, and Cordelia Schmid · 2017
Earlier work this paper cites.
Subunets: End-to-end hand shape and continuous sign language recognition
Necati Cihan Camgoz, Simon Hadfield, Oscar Koller, and Richard Bowden · 2017
Earlier work this paper cites.
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
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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.
Activity-conditioned continuous human pose estimation for performance analysis of athletes using the example of swimming
Moritz Einfalt, Dan Zecha, and Rainer Lienhart · 2018
Earlier work this paper cites.
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
Earlier work this paper cites.
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
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.
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
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.
Convolutional mesh regression for single-image human shape reconstruction
Nikos Kolotouros, Georgios Pavlakos, and Kostas Daniilidis · 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.
Holopose: Holistic 3d human reconstruction in-the-wild
Riza Alp Guler and Iasonas Kokkinos · 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.
Learning 3d human dynamics from video
Angjoo Kanazawa, Jason Y. Zhang, Panna Felsen, and Jitendra Malik · 2019
Earlier work this paper cites.
Lcr-net++: Multi-person 2d and 3d pose detection in natural images
Gregory Rogez, Philippe Weinzaepfel, and Cordelia Schmid · 2019
Cited alongside, same era.
On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2019
Cited alongside, same era.
Ghum & ghuml: Generative 3d human shape and articulated pose models
Hongyi Xu, Eduard Gabriel Bazavan, Andrei Zanfir, William T Freeman, Rahul Sukthankar, and Cristian Sminchisescu · 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.
Learning 3d human shape and pose from dense body parts
Hongwen Zhang, Jie Cao, Guo Lu, Wanli Ouyang, and Zhenan Sun · 2020
Cited alongside, same era.
Fully convolutional mesh autoencoder using efficient spatially varying kernels
A tool for extracting 3d avatar-ready gesture animations from monocular videos
Andrew Feng, Samuel Shin, and Youngwoo Yoon · 2022
Later among the works it cites.
SUPR: A sparse unified part-based human representation
Ahmed A. A. Osman, Timo Bolkart, Dimitrios Tzionas, and Michael J. Black · 2022
Later among the works it cites.
Learned vertex descent: a new direction for 3d human model fitting
Enric Corona, Gerard Pons-Moll, Guillem Alenyà, and Francesc Moreno-Noguer · 2022
Later among the works it cites.
Pose-ndf: Modeling human pose manifolds with neural distance fields
Garvita Tiwari, Dimitrije Antic, Jan Eric Lenssen, Nikolaos Sarafianos, Tony Tung, and Gerard Pons-Moll · 2022
Later among the works it cites.
Neuralannot: Neural annotator for 3d human mesh training sets
Gyeongsik Moon, Hongsuk Choi, and Kyoung Mu Lee · 2022
Later among the works it cites.
Simcc: A simple coordinate classification perspective for human pose estimation
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Yi Zhou, Chenglei Wu, Zimo Li, Chen Cao, Yuting Ye, Jason Saragih, Hao Li, and Yaser Sheikh · 2020
Cited alongside, same era.
3d human motion estimation via motion compression and refinement
Zhengyi Luo, S. Alireza Golestaneh, and Kris M. Kitani · 2020
Cited alongside, same era.
Vibe: Video inference for human body pose and shape estimation
Muhammed Kocabas, Nikos Athanasiou, and Michael J. Black · 2020
Cited alongside, same era.
3d human shape and pose from a single low-resolution image with self-supervised learning
Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, László A Jeni, and Fernando De la Torre · 2020
Cited alongside, same era.
3d multi-bodies: Fitting sets of plausible 3d human models to ambiguous image data
Benjamin Biggs, David Novotny, Sebastien Ehrhardt, Hanbyul Joo, Ben Graham, and Andrea Vedaldi · 2020
Cited alongside, same era.
I2l-meshnet: Image-to-lixel prediction network for accurate 3d human pose and mesh estimation from a single rgb image
Gyeongsik Moon and Kyoung Mu Lee · 2020
Cited alongside, same era.
Object-occluded human shape and pose estimation from a single color image
Tianshu Zhang, Buzhen Huang, and Yangang Wang · 2020
Cited alongside, same era.
Yanjie Li, Sen Yang, Peidong Liu, Shoukui Zhang, Yunxiao Wang, Zhicheng Wang, Wankou Yang, and Shu-Tao Xia · 2022
Later among the works it cites.
Posegpt: Quantization-based 3d human motion generation and forecasting
Thomas Lucas, Fabien Baradel, Philippe Weinzaepfel, and Grégory Rogez · 2022
Later among the works it cites.
Bailando: 3d dance generation by actor-critic gpt with choreographic memory
Li Siyao, Weijiang Yu, Tianpei Gu, Chunze Lin, Quan Wang, Chen Qian, Chen Change Loy, and Ziwei Liu · 2022
Later among the works it cites.
Multi-person extreme motion prediction
Wen Guo, Xiaoyu Bie, Xavier Alameda-Pineda, and Francesc Moreno-Noguer · 2022
Later among the works it cites.
Humman: Multi-modal 4d human dataset for versatile sensing and modeling
Zhongang Cai, Daxuan Ren, Ailing Zeng, Zhengyu Lin, Tao Yu, Wenjia Wang, Xiangyu Fan, Yang Gao, Yifan Yu, Liang Pan, et al · 2022
Later among the works it cites.
Posescript: 3d human poses from natural language
Ginger Delmas, Philippe Weinzaepfel, Thomas Lucas, Francesc Moreno-Noguer, and Grégory Rogez · 2022
Later among the works it cites.
Benchmarking and analyzing 3d human pose and shape estimation beyond algorithms
Hui En Pang, Zhongang Cai, Lei Yang, Tianwei Zhang, and Ziwei Liu · 2022
Later among the works it cites.
Learning physically simulated tennis skills from broadcast videos
Haotian Zhang, Ye Yuan, Viktor Makoviychuk, Yunrong Guo, Sanja Fidler, Xue Bin Peng, and Kayvon Fatahalian · 2023
Closest in time.
Humans in 4d: Reconstructing and tracking humans with transformers
Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran, Angjoo Kanazawa, and Jitendra Malik · 2023
Closest in time.
3d human mesh recovery with sequentially global rotation estimation
Dongkai Wang and Shiliang Zhang · 2023
Closest in time.
Tore: Token reduction for efficient human mesh recovery with transformer
Zhiyang Dou, Qingxuan Wu, Cheng Lin, Zeyu Cao, Qiangqiang Wu, Weilin Wan, Taku Komura, and Wenping Wang · 2023
Closest in time.
EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wild
Manuel Kaufmann, Jie Song, Chen Guo, Kaiyue Shen, Tianjian Jiang, Chengcheng Tang, Juan José Zárate, and Otmar Hilliges · 2023
Closest in time.
Phasemp: Robust 3d pose estimation via phase-conditioned human motion prior
Mingyi Shi, Sebastian Starke, Yuting Ye, Taku Komura, and Jungdam Won · 2023
Closest in time.
One-stage 3d whole-body mesh recovery with component aware transformer
Jing Lin, Ailing Zeng, Haoqian Wang, Lei Zhang, and Yu Li · 2023
Closest in time.
Potter: Pooling attention transformer for efficient human mesh recovery
Ce Zheng, Xianpeng Liu, Guo-Jun Qi, and Chen Chen · 2023
Closest in time.
Learning analytical posterior probability for human mesh recovery
Qi Fang, Kang Chen, Yinghui Fan, Qing Shuai, Jiefeng Li, and Weidong Zhang · 2023
Closest in time.
Humaniflow: Ancestor-conditioned normalising flows on so (3) manifolds for human pose and shape distribution estimation
Akash Sengupta, Ignas Budvytis, and Roberto Cipolla · 2023
Closest in time.
BEDLAM: A synthetic dataset of bodies exhibiting detailed lifelike animated motion
Michael J. Black, Priyanka Patel, Joachim Tesch, and Jinlong Yang · 2023
Closest in time.
Generating human motion from textual descriptions with discrete representations
Jianrong Zhang, Yangsong Zhang, Xiaodong Cun, Yong Zhang, Hongwei Zhao, Hongtao Lu, Xi Shen, and Ying Shan · 2023
Closest in time.
Qpgesture: Quantization-based and phase-guided motion matching for natural speech-driven gesture generation
Sicheng Yang, Zhiyong Wu, Minglei Li, Zhensong Zhang, Lei Hao, Weihong Bao, and Haolin Zhuang · 2023
Closest in time.
Swimxyz: A large-scale dataset of synthetic swimming motions and videos
Guénolé Fiche, Vincent Sevestre, Camila Gonzalez-Barral, and Simon Leglaive · 2023
Closest in time.
3d human mesh estimation from virtual markers
Xiaoxuan Ma, Jiajun Su, Chunyu Wang, Wentao Zhu, and Yizhou Wang · 2023
Closest in time.
Zolly: Zoom focal length correctly for perspective-distorted human mesh reconstruction
Wenjia Wang, Yongtao Ge, Haiyi Mei, Zhongang Cai, Qingping Sun, Yanjun Wang, Chunhua Shen, Lei Yang, and Taku Komura · 2023
Closest in time.
Cross-view and cross-pose completion for 3d human understanding
Matthieu Armando, Salma Galaaoui, Fabien Baradel, Thomas Lucas, Vincent Leroy, Romain Brégier, Philippe Weinzaepfel, and Grégory Rogez · 2023
Closest in time.
Posegpt: Chatting about 3d human pose
Yao Feng, Jing Lin, Sai Kumar Dwivedi, Yu Sun, Priyanka Patel, and Michael J Black · 2023
Closest in time.
Cross-view and cross-pose completion for 3d human understanding
Matthieu Armando, Salma Galaaoui, Fabien Baradel, Thomas Lucas, Vincent Leroy, Romain Brégier, Philippe Weinzaepfel, and Grégory Rogez · 2023
Closest in time.
BEDLAM: A synthetic dataset of bodies exhibiting detailed lifelike animated motion
Michael J. Black, Priyanka Patel, Joachim Tesch, and Jinlong Yang · 2023
Closest in time.
Smpler-x: Scaling up expressive human pose and shape estimation
Zhongang Cai, Wanqi Yin, Ailing Zeng, Chen Wei, Qingping Sun, Yanjun Wang, Hui En Pang, Haiyi Mei, Mingyuan Zhang, Lei Zhang, et al · 2024
Closest in time.
Tokenhmr: Advancing human mesh recovery with a tokenized pose representation
Sai Kumar Dwivedi, Yu Sun, Priyanka Patel, Yao Feng, and Michael J. Black · 2024
Closest in time.