Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture
Author:
Affiliation:
1. Southeast University,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9878378/9878366/09880372.pdf?arnumber=9880372
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1. Deepmimic: Example-guided deep reinforcement learning of physics-based character skills;peng;ACM TOG,2018
2. Expressive Body Capture: 3D Hands, Face, and Body From a Single Image
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5. Object-sensitive Deep Reinforcement Learning
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2. Incorporating Physics Principles for Precise Human Motion Prediction;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03
3. Decaf: Monocular Deformation Capture for Face and Hand Interactions;ACM Transactions on Graphics;2023-12-05
4. Recovering 3D Human Mesh From Monocular Images: A Survey;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-12
5. Motion-DVAE: Unsupervised learning for fast human motion denoising;ACM SIGGRAPH Conference on Motion, Interaction and Games;2023-11-15
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