A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency
Portrait Photo Retouching with PPR10K
PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency
Jie Liang*, Hui Zeng*, Miaomiao Cui, Xuansong Xie and Lei Zhang.
The proposed Portrait Photo Retouching dataset (PPR10K) is a large-scale and diverse dataset that contains:
- 11,161 high-quality raw portrait photos (resolutions from 4K to 8K) in 1,681 groups;
- 3 versions of manual retouched targets of all photos given by 3 expert retouchers;
- full resolution human-region masks of all photos.
Samples
Two example groups of photos from the PPR10K dataset.
Top: the raw photos;
Bottom: the retouched results from expert-a and the human-region masks.
The raw photos exhibit poor visual quality and large variance in subject views, background contexts,
lighting conditions and camera settings.
In contrast, the retouched results demonstrate