SceneAdapt: Scene-aware Adaptation of Human Motion Diffusion

ArXi:2510.13044v2 Announce Type: replace-cross Human motion is inherently diverse and semantically rich, while also shaped by the surrounding scene. However, existing motion generation approaches fail to generate semantically diverse motion while simultaneously respecting geometric scene constraints, since constructing large-scale datasets with both rich text-motion coverage and precise scene interactions is extremely challenging. In this work, we