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We introduce HuMoR: a 3D Human Motion Model for Robust Estimation of temporal pose and shape.
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MoSh: Motion and Shape Capture from Sparse Markers
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Conditional generative adversarial nets
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Pose-conditioned joint angle limits for 3D human pose reconstruction
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Keep it SMPL: Automatic estimation of 3D human pose and shape from a single image
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Rethinking atrous convolution for semantic image segmentation
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A recurrent variational autoencoder for human motion synthesis
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Towards accurate marker-less human shape and pose estimation over time
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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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3d human pose estimation in video with temporal convolutions and semi-supervised training
Dario Pavllo, Christoph Feichtenhofer, David Grangier, and Michael Auli · 2019
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Neural state machine for character-scene interactions
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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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Aist dance video database: Multi-genre, multi-dancer, and multi-camera database for dance information processing
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Neural ordinary differential equations
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A stochastic conditioning scheme for diverse human motion prediction
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Deepcap: Monocular human performance capture using weak supervision
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Normalizing flows: An introduction and review of current methods
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