InterGen: Diffusion-based Multi-human Motion Generation under Complex Interactions

arXiv:2304.05684v3 Announce Type: replace
Abstract: We have recently seen tremendous progress in diffusion advances for generating realistic human motions. Yet, they largely disregard the multi-human interactions. In this paper, we present InterGen, an effective diffusion-based approach that incorporates human-to-human interactions into the motion diffusion process, which enables layman users to customize high-quality two-person interaction motions, with only text guidance. We first contribute a multimodal dataset, named InterHuman. It consists of about 107M frames for diverse two-person interactions, with accurate skeletal …

abstract advances arxiv cs.cv diffusion human human interactions interactions paper process progress quality type