Flickr-Faces-HQ-Harmonization
Introduced in PHNet: Patch-based Normalization for Portrait Harmonization2024
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>.
