Author

Fang-Yuan Tu

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Preprint Sep 2026

FloodDiffusion 2: Efficient and Path Controllable Streaming Motion Generation

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 produces plausible motion, it suffers from low efficiency and limited controllability, as its attention design requires repeated computation o...

Yi-Yi Cai, Yu-Han Wu, Kun-Hang Li et al. · 0 citations

Preprint Sep 2026

World2Motion: Turning Video World Models into 3D Human Motion Generators

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 learn from motion datasets, their generalization is constrained by limited coverage of environments. In contrast, video world models such as...

Fang-Yuan Tu, Xiang-Yue Zhang, Yi-Yi Cai et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Triangular Resampling for Long-Horizon Motion Generation

Triangular Resampling is introduced, a post-training method for mitigating long-horizon error accumulation in motion diffusion models that addresses the mismatch between ground-truth-derived training windows and model-generated inference states.

Kun-Hang Li, Yi-Yi Cai, Xiang-Yue Zhang et al. · 0 citations