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
The official repository of "HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion Prior"
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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