FFHQH

· 논문 1편

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>.

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