FFHQH (Flickr-Faces-HQ-Harmonization)
Introduced by Efremyan et al. in PHNet: Patch-based Normalization for Portrait Harmonization
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>.
Papers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
