thy960112 / MDBNLinks
This is an official implementation for "Multi-depth branch network for efficient image super-resolution".
☆20Updated last year
Alternatives and similar repositories for MDBN
Users that are interested in MDBN are comparing it to the libraries listed below
Sorting:
- [ICML2023] IRNeXt: Rethinking Convolutional Network Design for Image Restoration☆71Updated last year
- PyTorch implementation for Comprehensive and Delicate: An Efficient Transformer for Image Restoration (CVPR 2023).☆58Updated 2 years ago
- ☆64Updated last year
- [CVPR 2024] CFAT: Unleashing Triangular Windows for Image Super-resolution☆91Updated 5 months ago
- [AAAI 2024] Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration☆36Updated 2 months ago
- [AAAI 2023] Adaptive Dynamic Filtering Network for Image Denoising.☆51Updated last year
- [ICCV2023] Implementation of "Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Imag…☆105Updated 10 months ago
- N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution (CVPR2023 Accepted)☆86Updated 2 years ago
- ☆94Updated last year
- ☆93Updated 8 months ago
- [IEEE TNNLS] A Practical Contrastive Learning Framework for Single Image Super-Resolution☆34Updated last year
- This project is for DLSN introduced in the following paper "Global Learnable Attention for Single Image Super-Resolution".☆53Updated 2 years ago
- Large Kernel Distillation Network for Efficient Single Image Super-Resolution☆39Updated 2 years ago
- Efficient Mixed Transformer for Single Image Super-Resolution☆33Updated 2 years ago
- [CVPR 2024] Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts☆89Updated last year
- Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution☆52Updated 11 months ago
- [NeurIPS'22] Cross Aggregation Transformer for Image Restoration☆142Updated 11 months ago
- [CVPRW 2024] Training Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution☆45Updated last year
- Xformer: Hybrid X-Shaped Transformer for Image Denoising☆52Updated last year
- [ICCV 2023] Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution☆21Updated last year
- TMM 2024 The code of ' Degradation-Aware Self-Attention Based Transformer for Blind Image Super-Resolution '.☆27Updated last year
- [TPAMI] Image Restoration via Frequency Selection☆98Updated 9 months ago
- [MIR 24] Fully 1x1 Convolutional Network for Lightweight Image Super-Resolution☆97Updated last year
- [AAAI-24] Correlation Matching Transformation Transformers for UHD Image Restoration☆50Updated last year
- ☆21Updated 2 years ago
- Revitalizing Convolutional Network for Image Restoration☆138Updated 9 months ago
- [Knowledge-Based Systems] Exploring the Potential of Channel Interactions for Image Restoration☆50Updated last year
- Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising (CVPR 2023)☆102Updated last year
- [AAAI2024] Omni-Kernel Network for Image Restoration☆84Updated 6 months ago
- Random Sub-Samples Generation for Self-Supervised Real Image Denoising (ICCV 2023)☆42Updated 2 years ago