Datasets › Chinese Traditional Painting dataset

Chinese Traditional Painting dataset

Introduced by Bo Li et al. in Neural Abstract Style Transfer for Chinese Traditional Painting archive 2025-07-28

The Chinese Traditional Painting dataset for style transfer contains 1000 content images and 100 style images. The content images are mostly the photorealistic scenes of mountain, lake, river, bridge, and buildings in regions south of the Yangtze River. It includes not only the scenes of China, but also beautiful pictures of Rhine, Alps, Yellow Stone, Grand Canyon, etc. The content images include diverse types of Chinese traditional paintings.

Source: https://github.com/lbsswu/Chinese_style_transfer Image Source: https://github.com/lbsswu/Chinese_style_transfer

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Chinese Traditional Painting dataset

1 variant name, as the archive lists them.

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