TST2K is a benchmark for reference-based tone style transfer in photo retouching. It contains 2,000 image triplets built from the public PPR10K and MIT-Adobe FiveK research datasets.
Each triplet includes a content image, a reference image, and a ground-truth target image. The goal is to match the color and tone of the reference image while keeping the content and structure of the original image. TST2K covers a range of… See the full description on the dataset page:
https://huggingface.co/datasets/ToneStyle/TST2K.
