Xun Huang

Xun Huang has 2 papers in our library, in 2024–2025; often with Eli Shechtman, Mingyuan Zhou, Qiang Zhang.

2 papers in our library · 2024–2025

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From Slow Bidirectional to Fast Autoregressive Video Diffusion Models (2024 · 148 citations)
Most strong text-to-video diffusion models use bidirectional attention across all frames. As a result, no frame can be shown until the whole clip is denoised, and cost grows quadratically with length. This rules out streaming or interactive use. The authors present CausVid, which converts a pretrained bidirectional…
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion (2025 · 146 citations)
Autoregressive video diffusion models build a video frame by frame. They are usually trained with Teacher Forcing or Diffusion Forcing, where the context frames are ground-truth or noised ground-truth. At inference, however, the model must condition on its own imperfect frames. This exposure bias causes errors to…

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Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 206 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated 2 November 2026