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We address the problem of regressing 3D human pose and shape from a single image, with a focus on 3D accuracy.
Learning effective human pose estimation from inaccurate annotation
Sam Johnson and Mark Everingham · 2011
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2d human pose estimation: New benchmark and state of the art analysis
Mykhaylo Andriluka, Leonid Pishchulin, Peter Gehler, and Bernt Schiele · 2014
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Human3.6M: Large scale datasets and predictive methods for 3D human sensing in natural environments
Catalin Ionescu, Dragos Papava, Vlad Olaru, and Cristian Sminchisescu · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 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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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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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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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Gaussian error linear units (gelus)
Dan Hendrycks and Kevin Gimpel · 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 Gehler · 2017
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Monocular 3d human pose estimation in the wild using improved cnn supervision
Dushyant Mehta, Helge Rhodin, Dan Casas, Pascal V. Fua, Oleksandr Sotnychenko, Weipeng Xu, and Christian Theobalt · 2017
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Neural discrete representation learning
Aaron Van Den Oord, Oriol Vinyals, et al · 2017
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Attention is all you need
Ashish Vaswani, Noam M. Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Ai challenger: A large-scale dataset for going deeper in image understanding
Jiahong Wu, He Zheng, Bo Zhao, Yixin Li, Baoming Yan, Rui Liang, Wenjia Wang, Shipei Zhou, Guosen Lin, Yanwei Fu, et al · 2017
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Ava: A video dataset of spatio-temporally localized atomic visual actions
Chunhui Gu, Chen Sun, David A Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, et al · 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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Neural body fitting: Unifying deep learning and model based human pose and shape estimation
Mohamed Omran, Christoph Lassner, Gerard Pons-Moll, Peter Gehler, and Bernt Schiele · 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 J. Black, Bodo Rosenhahn, and Gerard Pons-Moll · 2018
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Openpose: Realtime multi-person 2d pose estimation using part affinity fields
Z. Cao, G. Hidalgo Martinez, T. Simon, S. Wei, and Y. A. Sheikh · 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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AMASS: Archive of motion capture as surface shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, and Michael J. Black · 2019
Cited alongside, same era.
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
Cited alongside, same era.
Generating diverse high-fidelity images with vq-vae-2
Ali Razavi, Aaron Van den Oord, and Oriol Vinyals · 2019
Cited alongside, same era.
Hierarchical kinematic human mesh recovery
G. Georgakis, Ren Li, S. Karanam, Terrence Chen, J. Kosecka, and Ziyan Wu · 2020
Cited alongside, same era.
Exemplar fine-tuning for 3D human pose fitting towards in-the-wild 3D human pose estimation
Hanbyul Joo, Natalia Neverova, and Andrea Vedaldi · 2020
Cited alongside, same era.
VIBE: Video inference for human body pose and shape estimation
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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COAP: Compositional articulated occupancy of people
Marko Mihajlovic, Shunsuke Saito, Aayush Bansal, Michael Zollhoefer, and Siyu Tang · 2022
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Neuralannot: Neural annotator for 3d human mesh training sets
Gyeongsik Moon, Hongsuk Choi, and Kyoung Mu Lee · 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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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
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ViTPose: Simple vision transformer baselines for human pose estimation
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Muhammed Kocabas, Nikos Athanasiou, and Michael J. Black · 2020
Cited alongside, same era.
PIFuHD: Multi-level pixel-aligned implicit function for high-resolution 3D human digitization
Shunsuke Saito, Tomas Simon, Jason Saragih, and Hanbyul Joo · 2020
Cited alongside, same era.
Metric-scale truncation-robust heatmaps for 3D human pose estimation
István Sárándi, Timm Linder, Kai O. Arras, and Bastian Leibe · 2020
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.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2021
Cited alongside, same era.
Learning to regress bodies from images using differentiable semantic rendering
Sai Kumar Dwivedi, Nikos Athanasiou, Muhammed Kocabas, and Michael J. Black · 2021
Cited alongside, same era.
Probabilistic modeling for human mesh recovery
Nikos Kolotouros, Georgios Pavlakos, Dinesh Jayaraman, and Kostas Daniilidis · 2021
Cited alongside, same era.
Yufei Xu, Jing Zhang, Qiming Zhang, and Dacheng Tao · 2022
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Bedlam: A synthetic dataset of bodies exhibiting detailed lifelike animated motion
Michael J Black, Priyanka Patel, Joachim Tesch, and Jinlong Yang · 2023
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Human pose as compositional tokens
Zigang Geng, Chunyu Wang, Yixuan Wei, Ze Liu, Houqiang Li, and Han Hu · 2023
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Humans in 4D: Reconstructing and tracking humans with transformers
Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran, Angjoo Kanazawa, and Jitendra Malik · 2023
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Motiongpt: Human motion as a foreign language
Biao Jiang, Xin Chen, Wen Liu, Jingyi Yu, Gang Yu, and Tao Chen · 2023
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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
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One-stage 3D whole-body mesh recovery with component aware transformer
Jing Lin, Ailing Zeng, Haoqian Wang, Lei Zhang, and Yu Li · 2023
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HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
Akash Sengupta, Ignas Budvytis, and Roberto Cipolla · 2023
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Human motion diffusion model
Guy Tevet, Sigal Raab, Brian Gordon, Yoni Shafir, Daniel Cohen-or, and Amit Haim Bermano · 2023
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3D human pose estimation via intuitive physics
Shashank Tripathi, Lea Müller, Chun-Hao P. Huang, Taheri Omid, Michael J. Black, and Dimitrios Tzionas · 2023
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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
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ECON: Explicit clothed humans optimized via normal integration
Yuliang Xiu, Jinlong Yang, Xu Cao, Dimitrios Tzionas, and Michael J. Black · 2023
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T2m-gpt: Generating human motion from textual descriptions with discrete representations
Jianrong Zhang, Yangsong Zhang, Xiaodong Cun, Shaoli Huang, Yong Zhang, Hongwei Zhao, Hongtao Lu, and Xi Shen · 2023
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POCO: 3D pose and shape estimation using confidence
Sai Kumar Dwivedi, Cordelia Schmid, Hongwei Yi, Michael J. Black, and Dimitrios Tzionas · 2024
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