ReGenNet: Towards Human Action-Reaction Synthesis

arXiv:2403.11882v1 Announce Type: new
Abstract: Humans constantly interact with their surrounding environments. Current human-centric generative models mainly focus on synthesizing humans plausibly interacting with static scenes and objects, while the dynamic human action-reaction synthesis for ubiquitous causal human-human interactions is less explored. Human-human interactions can be regarded as asymmetric with actors and reactors in atomic interaction periods. In this paper, we comprehensively analyze the asymmetric, dynamic, synchronous, and detailed nature of human-human interactions and propose the first multi-setting human action-reaction …

abstract actors arxiv causal cs.ai cs.cv current dynamic environments focus generative generative models human human-centric human interactions humans interactions objects synthesis type