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Hanchao Liu

4 accepted papers

2026

Towards Highly-Constrained Human Motion Generation with Retrieval-Guided Diffusion Noise Optimization

CVPR 2026

Generating human motion that satisfies customized zero-shot goal functions, enabling applications such as controllable character animation and behavior synthesis for virtual agents, is a critical capability. While current approaches handle many unseen constraints, they fail on tasks with very challe

Cited by 0SourcecodeScholar
2025

WorkTeam: Constructing Workflows from Natural Language with Multi-Agents

NAACL 2025industry

Workflows play a crucial role in enhancing enterprise efficiency by orchestrating complex processes with multiple tools or components. However, hand-crafted workflow construction requires expert knowledge, presenting significant technical barriers. Recent advancements in Large Language Models (LLMs)…

Cited by 0SourcePDFScholar
2024

Programmable Motion Generation for Open-Set Motion Control Tasks

CVPR 2024highlight

Character animation in real-world scenarios necessitates a variety of constraints such as trajectories key-frames interactions etc. Existing methodologies typically treat single or a finite set of these constraint(s) as separate control tasks. These methods are often specialized and the tasks they a…

Cited by 5SourcePDFScholar
2024

Recovering Complete Actions for Cross-dataset Skeleton Action Recognition

NeurIPS 2024poster

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 generalization problem, we present a recover-and-resample augmentation framework based on a novel complete action prior. We…

Cited by 0SourcePDFScholar