# YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy

Diffusion model papers, survey, and taxonomy

Repository: https://github.com/YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy
Canonical: https://ross.abutalabs.com/products/diffusion-models-papers-survey-taxonomy
License Family: other
Topics: diffusion-models, survey, stable-diffusion, text-to-image, text-to-3d, text-to-video
Last push: 2025-09-27T02:49:32+00:00

## Health v2 (maintenance only)
Score: 52/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 44, release rhythm 35, longevity 100
- inputs: {"age_days": 1451, "days_push": 340, "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 3363, forks 257 (observed 2026-08-28T04:07:58.138342+00:00)

## What it is
A curated, continuously updated collection of research papers on diffusion models, organized according to the authors' ACM Computing Surveys paper. It provides a detailed taxonomy covering algorithmic enhancements, applications across vision, NLP, audio, and molecular modeling, and connections to other generative models.

## Use cases
- find papers on diffusion models for image generation
- learn about sampling acceleration techniques for diffusion models
- survey text-to-video and text-to-3d generation research
- find diffusion model papers for medical image reconstruction
- research connections between diffusion models and GANs or VAEs
- keep up with new diffusion model research

## When to choose
- you need a structured literature review of diffusion models
- you want a categorized reading list for generative modeling research
- you are writing a survey or thesis on diffusion models

## When to avoid
- you need runnable code or model implementations rather than paper references
- you need a tool or library for training or inference
- you need a single-topic deep dive rather than a broad survey

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, machine-learning, deep-learning, image-processing, video-processing, nlp
- domain: deep-learning, machine-learning, artificial-intelligence, computer-vision, image-processing, tutorials
- platform: cross-platform
- tags: diffusion-models, survey, taxonomy, paper-collection, stable-diffusion, text-to-image, text-to-video, text-to-3d, generative-models, awesome-list, video, natural-language-processing

## Member repositories
- YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy (main) score 52

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:58.138342+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 2026-08-29T18:40:19.370953+00:00, confidence not recorded.
  - readme: https://github.com/YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy (fetched 2026-08-28T04:07:58.138342+00:00, sha cb9d4e3a7204)
- Data as of 2026-08-30T08:39:29.467469+00:00.