3 papers
cs.CV2026
Towards Highly-Constrained Human Motion Generation with Retrieval-Guided Diffusion Noise Optimization
Hanchao Liu, Fang-Lue Zhang, Shining Zhang +2
Generating human motion that satisfies customized zero-shot goal functions, enabling applications such as controllable character animation and behavior synthesis for virtual agents…
cs.CV2024
Recovering Complete Actions for Cross-dataset Skeleton Action Recognition
Hanchao Liu, Yujiang Li, Tai-Jiang Mu +1
Despite huge progress in skeleton-based action recognition, its generalizability to different domains remains a challenging issue. In this paper, to solve the skeleton action gener…
cs.CV2024
Programmable Motion Generation for Open-Set Motion Control Tasks
Hanchao Liu, Xiaohang Zhan, Shaoli Huang +2
Character animation in real-world scenarios necessitates a variety of constraints, such as trajectories, key-frames, interactions, etc. Existing methodologies typically treat singl…