# ChenHsing/Awesome-Video-Diffusion-Models

[CSUR] A Survey on Video Diffusion Models

Repository: https://github.com/ChenHsing/Awesome-Video-Diffusion-Models
Canonical: https://ross.abutalabs.com/products/awesome-video-diffusion-models
License Family: other
Topics: awesome-list, text-to-video, video-diffusion-model, awesome, video-editing, survey, diffusion, diffusion-models, video, video-diffusion
Last push: 2026-08-12T17:02:12+00:00

## Health v2 (maintenance only)
Score: 72/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 97, release rhythm 35, longevity 80
- inputs: {"age_days": 1128, "days_push": 21, "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 2314, forks 120 (observed 2026-08-28T04:06:36.742983+00:00)

## What it is
A curated awesome-list accompanying the ACM Computing Surveys paper 'A Survey on Video Diffusion Models'. It catalogs open-source toolboxes, foundation models, and research on video diffusion for generation and editing tasks.

## Use cases
- find papers on video diffusion models
- learn about text-to-video generation research
- discover open-source video generation toolboxes
- survey of diffusion models for video editing
- get started with video diffusion research
- find text-to-video foundation models

## When to choose
- you need a curated reading list of video diffusion research
- you want to survey the text-to-video model landscape
- you're writing a literature review on video generation

## When to avoid
- you need runnable production code rather than a paper list
- you want a single tool or library rather than a survey
- you need non-diffusion video generation methods

## Facets
- artifact type: learning-resource
- maturity: active
- function: video-processing, machine-learning, deep-learning
- domain: deep-learning, artificial-intelligence, tutorials
- platform: cross-platform
- tags: awesome-list, diffusion-models, text-to-video, survey, video-generation, video-editing, academic-paper, video

## Member repositories
- ChenHsing/Awesome-Video-Diffusion-Models (main) score 72

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:36.742983+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 2026-08-30T02:39:26.526165+00:00, confidence not recorded.
  - readme: https://github.com/ChenHsing/Awesome-Video-Diffusion-Models (fetched 2026-08-28T04:06:36.742983+00:00, sha a87dce70dbdc)
- Data as of 2026-08-30T08:39:29.467469+00:00.