3 papers
cs.CV2026
ProjFlow: Projection Sampling with Flow Matching for Zero-Shot Exact Spatial Motion Control
Akihisa Watanabe, Qing Yu, Edgar Simo-Serra +1
Generating human motion with precise spatial control is a challenging problem. Existing approaches often require task-specific training or slow optimization, and enforcing hard con…
cs.CV2026
Causal Motion Diffusion Models for Autoregressive Motion Generation
Qing Yu, Akihisa Watanabe, Kent Fujiwara
Recent advances in motion diffusion models have substantially improved the realism of human motion synthesis. However, existing approaches either rely on full-sequence diffusion mo…
cs.CV2025
SimDiff: Simulator-constrained Diffusion Model for Physically Plausible Motion Generation
Akihisa Watanabe, Jiawei Ren, Li Siyao +3
Generating physically plausible human motion is crucial for applications such as character animation and virtual reality. Existing approaches often incorporate a simulator-based mo…