Some tasks are inferred based on the benchmarks list.
The benchmarks section lists all benchmarks using a given dataset or any of
its variants. We use variants to distinguish between results evaluated on
slightly different versions of the same dataset. For example, ImageNet 32⨉32
and ImageNet 64⨉64 are variants of the ImageNet dataset.
A high-resolution version of VGGFace2 for academic face editing purposes.
This project uses GFPGAN for image restoration and insightface for data preprocessing (crop and align).