# minar09/awesome-virtual-try-on

A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.

Repository: https://github.com/minar09/awesome-virtual-try-on
Canonical: https://ross.abutalabs.com/products/awesome-virtual-try-on
License Family: other
Topics: awesome-list, curated, curated-list, collection, vton, virtual-try-on, image-based, 2d-virtual-try-on, try-on, fashion, 3d-virtual-try-on, image, video, cloth, garment, fashion-tech, video-virtual-try-on, multi-pose, awesome-lists, multi-pose-guided
Last push: 2026-07-27T12:45:49+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 94, release rhythm 35, longevity 100
- inputs: {"age_days": 2265, "days_push": 37, "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 3157, forks 364 (observed 2026-08-28T04:07:46.418369+00:00)

## What it is
A curated awesome-list collecting research papers, code, datasets, workshops, and demos related to virtual try-on (VTON) technology. It covers 2D image-based, 3D, video, prompt-based, and multi-pose try-on approaches.

## Use cases
- find research papers on virtual try-on
- discover datasets for clothing try-on models
- find open-source VTON implementations
- research fashion AI and garment synthesis
- compare image-based vs video virtual try-on methods
- find diffusion-based try-on tools like ControlNet and Stable Diffusion

## When to choose
- you are researching virtual try-on and need a comprehensive starting point
- you want to find datasets or code for fashion/garment image synthesis
- you need to survey the state of the art in VTON across 2D, 3D, and video

## When to avoid
- you need a ready-to-use production try-on application rather than a reference list
- you want a single maintained library instead of links to many projects

## Facets
- artifact type: learning-resource
- maturity: active
- function: computer-vision, image-processing, machine-learning, deep-learning
- domain: computer-vision, image-processing, artificial-intelligence, machine-learning, e-commerce, awesome-lists
- platform: cross-platform
- tags: awesome-list, virtual-try-on, vton, fashion, research-papers, datasets, curated-list, generative-ai, stable-diffusion

## Member repositories
- minar09/awesome-virtual-try-on (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:46.418369+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 2026-08-29T18:45:33.810243+00:00, confidence not recorded.
  - readme: https://github.com/minar09/awesome-virtual-try-on (fetched 2026-08-28T04:07:46.418369+00:00, sha a7210a9cf383)
- Data as of 2026-08-30T08:39:29.467469+00:00.