maeotaku / pytorch_usm
Unsharp Masking (USM) Layer, a new layer for deep learning that preprocesses the images with USM but optimizes the filter automatically
☆12Updated 6 years ago
Alternatives and similar repositories for pytorch_usm:
Users that are interested in pytorch_usm are comparing it to the libraries listed below
- pytorch code of "CFSNet: Toward a Controllable Feature Space for Image Restoration"(ICCV2019)☆62Updated 3 years ago
- The implementation of ICASSP 2020 paper "Pixel-level self-paced learning for super-resolution"☆40Updated 4 years ago
- [Preprint] "Segmentation-Aware Image Denoising without Knowing True Segmentation"☆36Updated 3 years ago
- Official implementation of "Deep learning architectural designs for super-resolution of noisy images" by Villar et al. ICASSP 2021☆12Updated last year
- Official repository of KOALAnet (CVPR, 2021)☆37Updated 2 years ago
- ☆30Updated 2 years ago
- This repository is an official PyTorch implementation of the paper "Image Formation Model Guided Deep Image Super-Resolution" from AAAI 2…☆28Updated 4 years ago
- Pytorch code for our TIP2022 paper "Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations"☆23Updated 2 years ago
- Image Enhancement Zoo for collecting deraining, dehazing and brightening methods, datasets, and codes.☆44Updated 2 years ago
- Dual Back-Projection-Based Internal Learning for Blind Super-Resolution☆23Updated 4 years ago
- Scale-wise Convolution for Image Restoration☆30Updated 5 years ago
- [DSP 2023] "DA-DRN: A Degradation-Aware Deep Retinex Network for Low-Light Image Enhancement"☆21Updated 3 years ago
- This code implements the code of the paper ,"Neighbor2Neighbor:Self-Supervised Denoising From Single Noisy Images",in2021☆16Updated 4 years ago
- Single Image Deraining via Recurrent Hierarchy Enhancement Network (ACM'MM2019)☆17Updated 5 years ago
- Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution☆25Updated last year
- Deep Semantic Statistics Matching (D2SM) Denoising Network (ECCV22)☆24Updated 2 years ago
- AdaDM: Enabling Normalization for Image Super-Resolution☆60Updated 3 years ago
- Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)☆53Updated 2 years ago
- This repository is a PyTorch version of the paper "Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution" (ICCVW …☆36Updated 4 years ago
- codes for DeFiAN (TIP2021)☆24Updated 2 years ago
- Neural Sparse Representation for Image Restoration☆31Updated 4 years ago
- NTIRE 2020 NonHomogeneous Dehazing Challenge (CVPR Workshop 2020) 1st Solution.☆47Updated 4 years ago
- Pytorch UNOFFICIAL implement "NBNet: Noise Basis Learning for Image Denoising with Subspace Projection"☆24Updated 3 years ago
- cindydeng1991 / Wavelet-Domain-Style-Transfer-for-an-Effective-Perception-distortion-Tradeoff-in-Single-Image-Super-ICCV 2019 oral presentation☆43Updated 5 years ago
- Official PyTorch implementation of "Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning" in ACCV2…☆36Updated 4 years ago
- Pytorch code for "Attention Based Real Image Restoration", IEEE Transactions on Neural Networks and Learning Systems, 2021☆18Updated 3 years ago
- ☆29Updated 4 years ago
- Official PyTorch implementation of WSR (Towards Lighter and Faster: Learning Wavelets Progressively for Image Super-Resolution) accepted …☆30Updated 4 years ago
- Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)☆80Updated 4 years ago
- A pytorch implementation of Learning Detail-Structure Alternative Optimization for Blind Super-Resolution.☆14Updated 2 years ago