Skip to content
← Back to Research

preprint · arXiv (cs.CV), 2026 · Oct 23, 2026

Past as State, Present as Attention: Persistent-State Blockwise Flow Matching for Long-Horizon Co-Speech Motion Generation

Yi Liu, Xiangyue Zhang, Jianfang Li, Jia Ma, Yisheng He, Jianqiang Ren

In plain English

Introduces PASPA, which generates long speech-driven gesture motion by compressing past motion into a persistent state and applying attention only within the current segment. On public benchmarks it reports the best FGD scores and steadier style over long sequences.

gesture generation
virtual humans
evaluation
Read the source ↗

Related research