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showlab /Awesome-Video-Diffusion

Video diffusion papers and projects, sorted into labeled sections
Datasets & papersNo licenseEnglish README
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Awesome-Video-Diffusion screenshot from its README
From the Awesome-Video-Diffusion README on GitHub.

About Awesome-Video-Diffusion

A link list, not a tool you can run. It gathers video diffusion papers and projects into labeled sections. You'll find generation, editing, restoration, talking heads, benchmarks and more. There's no code, no install steps and no license file.

Best for: Research teams who want one map of video diffusion work.

What it does

  • Groups links by task, from generation to restoration and 3D
  • Lists benchmarks and metrics for judging video models
  • Covers character and motion customization, plus long video
  • Tracks talking heads, audio synthesis and virtual try-on
  • Also lists commercial video products and game generation

Quickstart

Rewritten from the README. Check the repo for the latest steps.

  1. 1
    Open the README on GitHub.
  2. 2
    Pick a section from the table of contents, like Video Editing.
  3. 3
    Click a link to open that project's own repo or paper.
  4. 4
    Check that project's license before you use it.

Models and languages

Models it works with

  • Wan 2.1
  • HunyuanVideo
  • LTX-Video
  • Mochi 1
  • Stable Video Diffusion
  • Open-Sora
  • SkyReels-V2
  • Cosmos
  • Veo 2
  • Kling

Interface and docs

  • English

Head-to-head

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Reviewed Oct 1, 2026. We write these descriptions ourselves. The repo's own docs are the final word.