# wangkai930418/awesome-diffusion-categorized

collection of diffusion model papers categorized by their subareas

Repository: https://github.com/wangkai930418/awesome-diffusion-categorized
Canonical: https://ross.abutalabs.com/products/awesome-diffusion-categorized
License Family: other
Topics: diffusion, stable-diffusion, diffusion-model, diffusion-models, continual-learning, controlnet, few-shot, image-edit, inpainting, inversion, detection, segmentation, text-guided, tracking
Last push: 2026-03-16T02:13:09+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 72, release rhythm 35, longevity 85
- inputs: {"age_days": 1202, "days_push": 171, "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 2224, forks 102 (observed 2026-08-28T04:06:27.869298+00:00)

## What it is
A curated awesome-list of diffusion model research papers organized by subareas such as image editing, inpainting, inversion, personalization, and visual illusions. It serves as a reference index linking papers to their arXiv entries, project pages, and code repositories.

## Use cases
- find papers on diffusion model image editing
- research stable diffusion inpainting techniques
- survey diffusion inversion methods
- keep up with new diffusion model papers by category
- find code implementations for text-guided image editing
- study few-shot personalization of diffusion models

## When to choose
- you need a categorized survey of diffusion model research
- you are looking for paper-to-code links across diffusion subareas
- you want to track recent academic work on image editing and generation

## When to avoid
- you need runnable software rather than a paper index
- you want production tools or libraries for diffusion inference
- you need tutorials or beginner learning material rather than research papers

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, image-processing, nlp
- domain: deep-learning, artificial-intelligence, image-processing, computer-vision
- platform: cross-platform
- tags: awesome-list, diffusion-models, stable-diffusion, papers, image-editing, inpainting, controlnet, text-guided-generation

## Member repositories
- wangkai930418/awesome-diffusion-categorized (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:27.869298+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 2026-08-30T02:45:00.720722+00:00, confidence not recorded.
  - readme: https://github.com/wangkai930418/awesome-diffusion-categorized (fetched 2026-08-28T04:06:27.869298+00:00, sha 850568ba3c09)
- Data as of 2026-08-30T08:39:29.467469+00:00.