TencentARC/GFPGAN

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Version	Model Name	Description
V1.3	GFPGANv1.3.pth	Based on V1.2; more natural restoration results; better results on very low-quality / high-quality inputs.
V1.2	GFPGANCleanv1-NoCE-C2.pth	No colorization; no CUDA extensions are required. Trained with more data with pre-processing.
V1	GFPGANv1.pth	The paper model, with colorization.

Version	Strengths	Weaknesses
V1.3	✓ natural outputs ✓better results on very low-quality inputs ✓ work on relatively high-quality inputs ✓ can have repeated (twice) restorations	✗ not very sharp ✗ have a slight change on identity
V1.2	✓ sharper output ✓ with beauty makeup	✗ some outputs are unnatural

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