Author

Chao Liu

h-index 6 View on Semantic Scholar

We have 3 of 19 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning Feb 2026

Mode Seeking meets Mean Seeking for Fast Long Video Generation

This paper proposes a training paradigm where Mode Seeking meets Mean Seeking, decoupling local fidelity from long-term coherence based on a unified representation via a Decoupled Diffusion Transformer, and closes the fidelity-horizon gap by jointly improving local sharpness, motion and long-range consistency.

Shengqu Cai, Weili Nie, Chao Liu et al. · arXiv.org · 12 citations · ⚡2

Jul 2026

Flex-Forcing: Towards a Unified Autoregressive and Bidirectional Video Diffusion Model

Flex-Forcing is introduced, a unified training and inference framework that enables a video diffusion model to seamlessly operate under both bidirectional and autoregressive generation regimes, and achieves consistently better video quality, long-video stability than strong baselines with a rigid inference schedule.

Xinyin Ma, Julius Berner, Chao Liu et al. · arXiv.org · 1 citation

Preprint Jul 2026

Parallel Decoding Distillation for Fast Image and Video Generation

Generation in video diffusion or flow models is computationally expensive due to the slow and iterative sampling process. Current state-of-the-art (SOTA) acceleration methods heavily rely on variational score distillation (VSD) and adversarial losses to distill diffusion models into few-step generators. Albeit achievin...

Neta Shaul, Chao Liu, Arash Vahdat et al. · 0 citations