# showlab/Awesome-Video-Diffusion

A curated list of recent diffusion models for video generation, editing, and various other applications.

Repository: https://github.com/showlab/Awesome-Video-Diffusion
Canonical: https://ross.abutalabs.com/products/awesome-video-diffusion
License Family: other
Topics: awesome, diffusion-models, video-editing, video-generation, motion-customization, video-generation-evaluation
Last push: 2026-08-24T16:48:14+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 88
- inputs: {"age_days": 1234, "days_push": 9, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5760, forks 374 (observed 2026-08-28T04:09:29.298586+00:00)

## What it is
A curated awesome-list of diffusion models and papers for video generation, editing, restoration, and related applications. It organizes research resources, toolboxes, benchmarks, and commercial products across many video diffusion subtopics.

## Use cases
- find papers on video diffusion models
- research text-to-video generation models
- compare video editing diffusion techniques
- find benchmarks for video generation evaluation
- learn about motion customization methods
- discover open-source video generation toolboxes

## When to choose
- you need a survey of the video diffusion research landscape
- you are looking for papers, code, and benchmarks on video generation or editing
- you want to track recent advances in diffusion-based video models

## When to avoid
- you need a ready-to-run video generation tool rather than a resource list
- you want production software with support or a license
- you need a single model implementation instead of a curated index

## Facets
- artifact type: learning-resource
- maturity: active
- function: video-processing, machine-learning, deep-learning
- domain: deep-learning, artificial-intelligence, awesome-lists
- platform: cross-platform
- tags: awesome-list, diffusion-models, video-generation, video-editing, curated-resources, research-papers, video

## Member repositories
- showlab/Awesome-Video-Diffusion (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:29.298586+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:53:14.981057+00:00, confidence not recorded.
  - readme: https://github.com/showlab/Awesome-Video-Diffusion (fetched 2026-08-28T04:09:29.298586+00:00, sha 38815e4726b8)
- Data as of 2026-08-30T08:39:29.467469+00:00.