yisol/IDM-VTON
Some data may be outdated — see provenance labels.
[ECCV2024] IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild observed · 2026-10-04
Health v2 · maintenance only
27/100
- Activity 2
- Release rhythm 35
- Longevity 67
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 945
- days_rel: n/a
- days_push: 592
- n_releases_24m: 0
Adoption not part of the score
5206 stars · 824 forks observed · 2026-10-04
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Official implementation of IDM-VTON, an ECCV 2024 paper that improves diffusion models for high-fidelity virtual try-on, swapping garments onto person images in the wild. It provides training and inference code built on SDXL with IP-Adapter, plus dataset preparation for VITON-HD and DressCode.
Use cases
- swap clothing between photos of people
- generate virtual try-on images of garments on a person
- train a diffusion model for image-based clothes try-on
- run virtual try-on on the VITON-HD dataset
- try on dresses or shirts from a product photo onto a model image
- reproduce ECCV 2024 virtual try-on research results
When to choose
- you need state-of-the-art research-grade virtual try-on with fine garment detail preservation
- you want to train or fine-tune a try-on model on VITON-HD or DressCode
- you have GPU resources and are comfortable with research code
When to avoid
- you need a production-ready hosted API or polished end-user app
- you lack a GPU or cannot set up conda environments and large datasets
- you need a permissive license - the license is non-standard
Facets
library · maturity active
image-processing machine-learning deep-learning stable-diffusion computer-vision image-processing artificial-intelligence deep-learning python virtual-try-on diffusion-models eccv2024 garment-transfer sdxl ip-adapter research-code gpu linux
2 sources
- readme: https://github.com/yisol/IDM-VTON · fetched 2026-10-04 · 2a90e9824331
- homepage: https://idm-vton.github.io/ · fetched 2026-08-29 · 6af8fc09d3d9
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| yisol/IDM-VTON | main | 27 |
For agents
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem