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We present a new method, called MEsh TRansfOrmer (METRO), to reconstruct 3D human pose and mesh vertices from a single image.
“cloze procedure”: A new tool for measuring readability
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Kinectfusion: Real-time dense surface mapping and tracking
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2d human pose estimation: New benchmark and state of the art analysis
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Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
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Microsoft coco: Common objects in context
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Smpl: A skinned multi-person linear model
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Direct prediction of 3d body poses from motion compensated sequences
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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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Monocular 3d human pose estimation in the wild using improved cnn supervision
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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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Self-supervised learning of motion capture
Hsiao-Yu Tung, Hsiao-Wei Tung, Ersin Yumer, and Katerina Fragkiadaki · 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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Inverse kinematics techniques in computer graphics: A survey
Andreas Aristidou, Joan Lasenby, Yiorgos Chrysanthou, and Ariel Shamir · 2018
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3d-coded: 3d correspondences by deep deformation
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Deep inertial poser learning to reconstruct human pose from sparseinertial measurements in real time
Yinghao Huang, Manuel Kaufmann, Emre Aksan, Michael J. Black, Otmar Hilliges, and Gerard Pons-Moll · 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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Single-shot multi-person 3d pose estimation from monocular rgb
Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Srinath Sridhar, Gerard Pons-Moll, and Christian Theobalt · 2018
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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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Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization
Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Angjoo Kanazawa, and Hao Li · 2019
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3d scene reconstruction with multi-layer depth and epipolar transformers
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Deep high-resolution representation learning for visual recognition
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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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Mohamed Omran, Christoph Lassner, Gerard Pons-Moll, Peter Gehler, and Bernt Schiele · 2018
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Image transformer
Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Noam Shazeer, Alexander Ku, and Dustin Tran · 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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Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever · 2018
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Generating 3d faces using convolutional mesh autoencoders
Anurag Ranjan, Timo Bolkart, Soubhik Sanyal, and Michael J Black · 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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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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Freihand: A dataset for markerless capture of hand pose and shape from single rgb images
Christian Zimmermann, Duygu Ceylan, Jimei Yang, Bryan Russell, Max Argus, and Thomas Brox · 2019
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Language models are few-shot learners
Tom B Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Generative pretraining from pixels
Mark Chen, Alec Radford, Rewon Child, Jeff Wu, Heewoo Jun, Prafulla Dhariwal, David Luan, and Ilya Sutskever · 2020
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Pose2mesh: Graph convolutional network for 3d human pose and mesh recovery from a 2d human pose
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An image is worth 16x16 words: Transformers for image recognition at scale
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Hierarchical kinematic human mesh recovery
Georgios Georgakis, Ren Li, Srikrishna Karanam, Terrence Chen, Jana Kosecka, and Ziyan Wu · 2020
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Epipolar transformers
Yihui He, Rui Yan, Katerina Fragkiadaki, and Shoou-I Yu · 2020
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Hand-transformer: Non-autoregressive structured modeling for 3d hand pose estimation
Lin Huang, Jianchao Tan, Ji Liu, and Junsong Yuan · 2020
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Vibe: Video inference for human body pose and shape estimation
Muhammed Kocabas, Nikos Athanasiou, and Michael J. Black · 2020
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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
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STAR: A spare trained articulated human body regressor
Ahmed A A Osman, Timo Bolkart, and Michael J. Black · 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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3d human mesh regression with dense correspondence
Wang Zeng, Wanli Ouyang, Ping Luo, Wentao Liu, and Xiaogang Wang · 2020
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Object-occluded human shape and pose estimation from a single color image
Tianshu Zhang, Buzhen Huang, and Yangang Wang · 2020
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