GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
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Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Simulation-based Lidar Super-resolution for Ground Vehicles
A collection of tools for painting super-resolution images
Noise Correction Algorithm for sCMOS cameras