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>.

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 (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.

benchmark_texture / benchmark_complex_bg / benchmark_hand

These subsets are released under CC BY-NC 4.0 and are available for non-commercial academic use only.

Citation

Citation will be updated upon publication.