FFHQH

A new dataset for portrait harmonization based on the FFHQ. It contains real images, foreground masks, and synthesized composites.

Generating composite images has two steps: alpha mask generation and color augmentation.

StyleMatte - portrait matting network was used for mask generation.

Color augmentations: brightness, contrast, hue, sharpness adjustment.

FFHQH includes 60,000 triplets for train, 5000 for validation and 5000 for test. Triplet stands for <real image, mask, composite image>.