Datasets › 4SKST

4SKST (4 Sketch Style)

Introduced by Chang Wook Seo et al. in Semi-supervised reference-based sketch extraction using a contrastive learning framework19 May 2023 archive 2025-07-28

This is 4 sketch style (4SKST) dataset, from the research paper "Semi-supervised reference-based sketch extraction using a contrastive learning framework" Dataset consists one of four different styles of sketches paired to color images.

Total 25 color images and corresponding 100 (25x4) sketches.

Sketches are drawn by professional artist.

Base color images are mainly from https://jewel-s.jp/ (Game source for free share), Flickr (CC-2.0), and generated by deep-learning model (StyleGAN, stablediffusion)

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 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

CC-BY-NC

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • 4SKST

1 variant name, as the archive lists them.

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