A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
Use deep Convolutional Neural Networks (CNNs) with PyTorch, including investigating DnCNN and U-net architectures
This project explores the effectiveness of FFT filters and DnCNN denoising in improving image quality by reducing noise in digital images.
Code for paper "Classification-based Dynamic Network for Efficient Super-Resolution"
