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We introduce a novel deep learning framework for data-driven motion retargeting between skeletons, which may have different structure, yet corresponding to homeomorphic graphs.
Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling
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Motion Style Retargeting to Characters With Different Morphologies
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Unpaired image-to-image translation using cycle-consistent adversarial networks. In Proc. ICCV 2017 . 2223–2232
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Automatic unpaired shape deformation transfer
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Image-to-image translation for cross-domain disentanglement. In Advances in Neural Information Processing Systems . 1287–1298
Abel Gonzalez-Garcia, Joost van de Weijer, and Yoshua Bengio. 2018 · 2018
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Optimizing Network Structure for 3D Human Pose Estimation. In Proc. ICCV 2019
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MeshCNN: a network with an edge
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Learning Convolutional Neural Networks for Graphs. In Proc. ICML 2016 , Vol. 48. 2014–2023
Mathias Niepert, Mohamed Ahmed, and Konstantin Kutzkov. 2016 · 2023
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