zhengdihan / LUD-VAE
Official code for "Learn from Unpaired Data for Image Restoration: A Variational Bayes Approach"
☆14Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for LUD-VAE
- Sliding Window Recurrent Network for Efficient Video Super-Resolution, ECCVW 2022☆15Updated last year
- ☆11Updated last year
- Code of the ICASSP 2022 paper "Gradient Variance Loss for Structure Enhanced Super-Resolution"☆28Updated 2 years ago
- Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution (CVPRW 2023)☆23Updated last year
- Update BasicSR to support PyTorch2.0 DDP training☆11Updated last year
- The code for AIM2022 compressed image super-resolution☆11Updated last year
- This repository is an official PyTorch implementation of the paper "Lightweight Feature De-Redundancy and Self-Calibration Network for Ef…☆9Updated 8 months ago
- Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution☆25Updated last year
- Arxiv - Partial Large Kerenl CNNs for Efficient Super-Resolution☆43Updated 2 months ago
- This repository is an official PyTorch implementation of our paper "Feature Distillation Interaction Weighting Network for Lightweight Im…☆13Updated last year
- A pytorch implementation of Learning Detail-Structure Alternative Optimization for Blind Super-Resolution.☆13Updated last year
- official code for "EgoVSR: Towards High-Quality Egocentric Video Super-Resolution"☆13Updated last year
- Blind Super Resolution based on USRNet and Kernel GAN☆16Updated 4 years ago
- Single Image Super Resolution Using WaveMix☆39Updated last month
- Variational Deep Image Denoising☆24Updated 2 years ago
- Dual interactive implicit neural network for super resolving images to arbitrary resolutions.☆32Updated last year
- Efficient Mixed Transformer for Single Image Super-Resolution☆30Updated last year
- A Progressive Fusion Generative Adversarial Network for Realistic and Consistent Video Super-Resolution☆17Updated 2 years ago
- NeurIPS 2023 - Real-world super-resolution as multi-task learning☆15Updated 7 months ago
- IGConv: Implicit Grid Convolution for Multi-Scale Image Super-Resolution☆16Updated last month
- Implementation of 'KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution' (ECCV2022 Oral)☆22Updated last year
- ☆17Updated 7 months ago
- [CVPR 2024] Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning☆26Updated 5 months ago
- Paper accepted by CVPR Workshop, NTIRE 2022☆26Updated 9 months ago
- Self-Calibrated Efficient Transformer for Lightweight Super-Resolution (offical)☆37Updated 2 years ago
- [CVPR 2024] CFAT: Unleashing Triangular Windows for Image Super-resolution☆74Updated 4 months ago
- Efficient Space-time Super Resolution using Flow and Mask Upsampling☆10Updated 3 years ago
- ☆29Updated 2 years ago
- "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.☆23Updated 2 years ago
- This repository is an official PyTorch implementation of the paper "Lightweight Bimodal Network for Single-Image Super-Resolution via Sym…☆31Updated 2 years ago