lhaof / Robust-SR-against-Adversarial-Attacks
☆10Updated 2 years ago
Related projects: ⓘ
- Single Image Deraining using a Recurrent Multi-scale Aggregation and Enhancement Network (ICME'19)☆21Updated 4 years ago
- The implementation of ICASSP 2020 paper "Pixel-level self-paced learning for super-resolution"☆40Updated 3 years ago
- Image Enhancement Zoo for collecting deraining, dehazing and brightening methods, datasets, and codes.☆43Updated 2 years ago
- This is an official implementation of our CVPR 2020 paper "Non-Local Neural Networks With Grouped Bilinear Attentional Transforms".☆12Updated 3 years ago
- Single Image Deraining via Recurrent Hierarchy Enhancement Network (ACM'MM2019)☆17Updated 4 years ago
- A pytorch implementation of Learning Detail-Structure Alternative Optimization for Blind Super-Resolution.☆13Updated last year
- code for the paper titled "Adaptive Cross-Layer Attention for Image Restoration"☆13Updated 2 years ago
- Deep Semantic Statistics Matching (D2SM) Denoising Network (ECCV22)☆24Updated 2 years ago
- Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution☆25Updated last year
- ☆9Updated 3 years ago
- Dual Back-Projection-Based Internal Learning for Blind Super-Resolution☆22Updated 4 years ago
- Some implements of state-of-the-art Super-Resolution architectures with Pytorch.☆20Updated 10 months ago
- Accepted by TMM 2021☆41Updated 2 years ago
- Implementation for Context-Gated Convolution☆58Updated 2 years ago
- Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)☆53Updated 2 years ago
- Pytorch code for "Attention Based Real Image Restoration", IEEE Transactions on Neural Networks and Learning Systems, 2021☆18Updated 2 years ago
- ☆18Updated 3 years ago
- Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms☆20Updated 2 years ago
- ☆11Updated 5 years ago
- HSViT: Horizontally Scalable Vision Transformer☆11Updated 2 months ago
- [TNNLS 2021] The official code for the paper "Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement"☆27Updated 3 years ago
- Reference based Image Super-Resolution via Variational AutoEncoder☆27Updated 3 years ago
- Pytorch implementation (TPAMI 2023) - Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion☆17Updated last year
- [Preprint] "Segmentation-Aware Image Denoising without Knowing True Segmentation"☆36Updated 2 years ago
- Pytorch-based adaptive deformable convolution☆13Updated 3 years ago
- Unsharp Masking (USM) Layer, a new layer for deep learning that preprocesses the images with USM but optimizes the filter automatically☆11Updated 5 years ago
- ☆10Updated last year
- Reducing Channel Redundancy in Convolutional Neural Networks by Features Recombining (TIP 2021)☆18Updated last year
- Joint learning of saliency detection and weakly supervised semantic segmentation☆25Updated 4 years ago
- Neural Sparse Representation for Image Restoration☆32Updated 4 years ago