collaborators

9 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

Many Eyes, One World: Feed-Forward 3D Reconstruction from Mixed Cameras

Qiaoge Li, Yifan Zhan, Haijun Yang +3

Real-world capture is heterogeneous: perspective, fisheye, and panoramic images can coexist within a single reconstruction task, yet most feed-forward 3D reconstruction…

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…

eess.AS2026

Kinetic-Optimal Scheduling with Moment Correction for Metric-Induced Discrete Flow Matching in Zero-Shot Text-to-Speech

Dong Yang, Yiyi Cai, Haoyu Zhang +2

Metric-induced discrete flow matching (MI-DFM) exploits token-latent geometry for discrete generation, but its practical use is limited by two issues: heuristic schedulers requirin…

cs.CV2026

PersonaGesture: Single-Reference Co-Speech Gesture Personalization for Unseen Speakers

Xiangyue Zhang, Yiyi Cai, Kunhang Li +6

We propose PersonaGesture, a diffusion-based pipeline for single-reference co-speech gesture personalization of unseen speakers. Given target speech and one motion clip from a new…

cs.CV2025

Towards Interactive Intelligence for Digital Humans

Yiyi Cai, Xuangeng Chu, Xiwei Gao +16

We introduce Interactive Intelligence, a novel paradigm of digital human that is capable of personality-aligned expression, adaptive interaction, and self-evolution. To realize thi…

cs.CV2025

FloodDiffusion: Tailored Diffusion Forcing for Streaming Motion Generation

Yiyi Cai, Yuhan Wu, Kunhang Li +3

We present FloodDiffusion, a new framework for text-driven, streaming human motion generation. Given time-varying text prompts, FloodDiffusion generates text-aligned, seamless moti…

eess.AS2025

Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis

Dong Yang, Yiyi Cai, Yuki Saito +2

We propose Shallow Flow Matching (SFM), a novel mechanism that enhances flow matching (FM)-based text-to-speech (TTS) models within a coarse-to-fine generation paradigm. Unlike con…