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