3 papers
cs.CV2026
World2Motion: Turning Video World Models into 3D Human Motion Generators
Fangyuan Tu, Tu Fangyuan, Xiangyue Zhang +9
We present World2Motion, a framework that generates scene-aware 3D human motion and corresponding video from a single image and a text prompt. While existing 3D motion generators l…
cs.CV2026
Triangular Resampling for Long-Horizon Motion Generation
Kunhang Li, Yiyi Cai, Xiangyue Zhang +5
We introduce Triangular Resampling (TR), a post-training method for mitigating long-horizon error accumulation in motion diffusion models. Built on FloodDiffusion's triangular deno…
cs.CV2026
FloodDiffusion 2: Efficient and Path Controllable Streaming Motion Generation
Yiyi Cai, Yuhan Wu, Kunhang Li +6
We present FloodDiffusion 2 (FD2), an efficient and controllable framework that builds upon FloodDiffusion (FD1), a state-of-the-art streaming motion generation model. While FD1 pr…