RoMo: A Large-Scale, Richly Organized Dataset and Semantic Taxonomy for Human Motion Generation 事件

RoMo: A Large-Scale, Richly Organized Dataset and Semantic Taxonomy for Human Motion Generation arXiv:2605.26241v1 Announce Type: new Abstract: Success in generative modeling across language, image, and video demonstrates that large, well-curated datasets are the key driver for building capable models. 3D Human motion, however, has lagged behind, constrained by an unsatisfying choice between small, high-fidelity motion capture datasets and large-scale in-the-wild collections dominated by static