---
license: other
license_name: non-commercial-academic-use
license_link: https://github.com/aimagelab/dress-code/blob/main/LICENCE
task_categories:
- image-to-image
language:
- en
size_categories:
- 1G<n<10G
tags:
- virtual-try-on
- fashion
- benchmark
---

# VTBench: Virtual Try-On Benchmark

VTBench is a benchmark dataset for evaluating virtual try-on (VTON) models, introduced in the NeurIPS 2026 Datasets & Benchmarks Track submission.

## Test Sets

| Subset | Directory | Pairs | Description |
|--------|-----------|-------|-------------|
| **FTF** (Font/Texture Fidelity) | `benchmark_texture/` | 600 | Fine-grained garment texture and text/logo preservation |
| **CBC** (Complex Background Consistency) | `benchmark_complex_bg/` | 433 | Background preservation under complex scenes |
| **HOC** (Hand-Occlusion Consistency) | `benchmark_hand/` | 1,443 | Hand-garment occlusion and joint consistency |
| **CCP** (Cross-Category Plausibility) | `benchmark_crossvton/` | 420 (4 directions × 105) | Cross-category try-on: dress / upper / lower |

## Directory Structure

```
benchmark_texture/
  cloth/              # garment images: cloth_0001.png … cloth_0600.png
  image/              # person images:  image_0001.png … image_0600.png
  test_pairs.txt      # <cloth> <image> per line (600 pairs)
  filename_mapping.txt  # new filename → original filename

benchmark_complex_bg/
  cloth/              # 0000.png … 0473.png
  image/              # 0000.png … 0473.png
  test_pairs.txt      # 433 pairs

benchmark_hand/
  cloth/              # 0000.png … 1442.png
  image/              # 0000.png … 1442.png
  test_pairs.txt      # 1443 pairs

benchmark_crossvton/
  dress/cloth/        # dress garments
  dress/image/        # dress person images
  upper/cloth/        # upper-body garments
  upper/image/        # upper-body person images
  lower/cloth/        # lower-body garments
  lower/image/        # lower-body person images
  test_pairs_ds2lower.txt   # dress → lower (105 pairs)
  test_pairs_ds2up.txt      # dress → upper (105 pairs)
  test_pairs_lower2ds.txt   # lower → dress (105 pairs)
  test_pairs_up2ds.txt      # upper → dress (105 pairs)
```

Each `test_pairs*.txt` contains one pair per line: `<cloth_path> <image_path>`.

## Model Outputs

[`VT_model_results_retinaface_100/`](VT_model_results_retinaface_100) provides a standardized qualitative comparison set for **19 virtual try-on models** on **100 identical person-garment input pairs**, for a total of **1,900 generated images**.

The 100 inputs are the first 100 pairs in [`benchmark_complex_bg/test_pairs.txt`](benchmark_complex_bg/test_pairs.txt). Every model is evaluated on the same person image and garment image. Faces in the generated results were blurred for privacy. Aggregate preprocessing statistics are reported in `processing_report.json`.

Evaluated models: CAT-DM, CatVTON, CrossVTON, DA-FLOW, FitDit, FS-VTON, HR-VITON, IDM-VTON, LaDI-VTON, Leffa, Nano-Banana, OOTD, PF-AFN, Qwen-Edit, SD-VITON, Seedream, StableVITON, TPD, and VTON-HandFit.

```
VT_model_results_retinaface_100/
  results/
    <model_name>/       # 100 generated images per model
      <sample_id>.png
  pairs.tsv             # sample IDs and repository-relative input paths
  model_sources.tsv     # model names and repository-relative result directories
  processing_report.json
  errors.tsv            # processing errors (none for this release)
```

Each result filename matches the person-image filename for its corresponding row in `pairs.tsv`. All paths in the manifests are relative to the root of this Hugging Face dataset repository. These generated results are distributed for non-commercial academic use under the same restrictions as the source CBC subset.

## License

This dataset is available for **non-commercial academic research, teaching, and publication only**.

### benchmark_crossvton

The `benchmark_crossvton/` subset is a curated selection from the [Dress Code Dataset](https://github.com/aimagelab/dress-code) (images selected and renamed; no content modification). It is subject to the original Dress Code license terms:

> The Dress Code Dataset is proprietary to and © Yoox Net-a-Porter Group S.p.A., and its licensors. It is distributed by the University of Modena and Reggio Emilia, and available for non-commercial academic use under licence terms set out at https://github.com/aimagelab/dress-code.

By downloading or using `benchmark_crossvton/`, you agree to be bound by those [licence terms](https://github.com/aimagelab/dress-code/blob/main/LICENCE).

### benchmark_texture / benchmark_complex_bg / benchmark_hand

These subsets are released under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) and are available for non-commercial academic use only.

## Citation

Citation will be updated upon publication.