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Kyoto-summer2autumn

This is the official repository of high resolution Kyoto summer2autumn dataset used in Ultra-resolution unpaired stain transformation via Kernelized Instance Normalization (ECCV 2022)

Description

All the images have resolution of 5184x3456.

• TrainX: 17 summer images
• TrainY: 20 autumn images
• TestX: 4 summer images

Credit

Ming-Yang Ho (Kaminyou). All photos were taken in Kyoto.

Usage

Please refer to Ultra-resolution unpaired stain transformation via Kernelized Instance Normalization (ECCV 2022) repository for the details.

License

Please refer to the LICENSE file.