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We present a novel approach to synthesize dexterous motions for physically simulated hands in tasks that require coordination between the control of two hands with high temporal precision.
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Temporally guided music-to-body-movement generation. In Proceedings of the 28th ACM International Conference on Multimedia . 147–155
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GRAB: A dataset of whole-body human grasping of objects. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part IV 16 . Springer, 581–600
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A scalable approach to control diverse behaviors for physically simulated characters
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DexYCB: A benchmark for capturing hand grasping of objects. In Conference on Computer Vision and Pattern Recognition
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ControlVAE: Model-Based Learning of Generative Controllers for Physics-Based Characters
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A Music-Driven Deep Generative Adversarial Model for Guzheng Playing Animation
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Synthesizing Dexterous Nonprehensile Pregrasp for Ungraspable Objects. In ACM SIGGRAPH 2023 Conference Proceedings . 1–10
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guitARhero: Interactive Augmented Reality Guitar Tutorials
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MoConVQ: Unified Physics-Based Motion Control via Scalable Discrete Representations
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Robopianist: Dexterous piano playing with deep reinforcement learning. In Conference on Robot Learning
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Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. In Conference on Computer Vision and Pattern Recognition
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Semantic Gesticulator: Semantics-Aware Co-Speech Gesture Synthesis
Zeyi Zhang, Tenglong Ao, Yuyao Zhang, Qingzhe Gao, Chuan Lin, Baoquan Chen, and Libin Liu. 2024 · 2024
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