Datasets:
File size: 4,857 Bytes
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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.
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