Example-based Motion Synthesis via Generative Motion Matching

Abstract

We present Generative Motion Matching (GenMM), a generative model that “mines” as many diverse motions as possible from a single or few example sequences. GenMM is training-free and can synthesize a high-quality motion within a fraction of a second, even with highly complex and large skeletal structures.