PyTorch implementation of Real-ESRGAN model
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Updated
Apr 15, 2024 - Python
PyTorch implementation of Real-ESRGAN model
Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)
This project is the official implementation of 'Knowledge Distillation based Degradation Estimation for Blind Super-Resolution', ICLR2023
PyTorch implementation of "Deep Equilibrium Diffusion Restoration with Parallel Sampling (CVPR 2024)"
This project is the official implementation of 'Meta-Learning based Degradation Representation for Blind Super-Resolution', TIP2023
Official Pytorch implementation of the paper Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super Resolution, ECCVW 2022
Implementation of our paper "Super-resolution with adversarial loss on the feature maps of the generated high-resolution image" (IET Electronics Letters 2022)
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