DnCNN-tensorflow

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

The state-of-the-art image restoration model without nonlinear activation functions.

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

The official implementation of IJCV & BMVC 2022 paper "One-Pot Multi-frame Denoising".

[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".

[ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.

[CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)