shadow2496/VITON-HD
Official PyTorch implementation of "VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization" (CVPR 2021) observed · 2026-08-28
Health v2 · maintenance only
40/100
- Activity 18
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1980
- days_rel: n/a
- days_push: 493
- n_releases_24m: 0
Adoption not part of the score
1161 stars · 250 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Official PyTorch implementation of VITON-HD (CVPR 2021), a high-resolution image-based virtual try-on model that transfers a clothing item onto a person's photo at 1024x768 resolution using misalignment-aware ALIAS normalization. It includes training/inference code and a preprocessed 1024x768 try-on dataset for research use.
Use cases
- generate virtual try-on images of clothes on a person
- try on clothing items on model photos at high resolution
- research high-resolution image synthesis for fashion
- train a virtual try-on model on the VITON-HD dataset
- compare virtual try-on baselines for a paper
- build a fashion e-commerce outfit preview prototype
When to choose
- you need a proven, citable virtual try-on baseline at 1024x768 resolution
- you want the official implementation with the matching preprocessed dataset
- you are doing academic research on clothing transfer or image generation
When to avoid
- you need a production-ready try-on service with licensing for commercial use (dataset and code are research-only)
- you want text-prompt or diffusion-based dressing (see StableVITON or PromptDresser instead)
- you need a maintained product with support and frequent updates
Facets
library · maturity maintenance
image-processing machine-learning deep-learning computer-vision image-processing deep-learning e-commerce python virtual-try-on image-generation pytorch gan computer-vision research-code cvpr-2021 linux gpu
2 sources
- readme: https://github.com/shadow2496/VITON-HD · fetched 2026-08-28 · ba69d64bdd4b
- homepage: https://psh01087.github.io/VITON-HD · fetched 2026-08-29 · f15f8f65c165
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| shadow2496/VITON-HD | main | 40 |
For agents
markdown · JSON · MCP: product_card(name="shadow2496/VITON-HD")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem