Lincoln20030413 / DDSRLinks
PyTorch code for paper "Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIs"
☆20Updated 2 years ago
Alternatives and similar repositories for DDSR
Users that are interested in DDSR are comparing it to the libraries listed below
Sorting:
- Official Code for Hybrid Spectral Denoising Transformer with Guided Attention (ICCV'23)☆52Updated last year
- Scale-aware Super-resolution Network☆19Updated last year
- Dual interactive implicit neural network for super resolving images to arbitrary resolutions.☆32Updated last month
- Xformer: Hybrid X-Shaped Transformer for Image Denoising☆50Updated last year
- Adaptive Local Implicit Image Function for Arbitrary-scale Super-resolution, accepted by the International Conference on Image Processing…☆21Updated 2 years ago
- ☆64Updated last year
- [ICCV 2023] Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution☆21Updated last year
- ☆19Updated last year
- ☆23Updated 3 years ago
- Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring☆43Updated 3 weeks ago
- ☆21Updated 2 years ago
- Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging, ICCV2021 [PyTorch Code]☆31Updated 4 years ago
- CVPR2024: Transfer CLIP for Generalizable Image Denoising☆86Updated last year
- The code source of MambaCSR☆25Updated last year
- [ICCV2023] The Devil is in the upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior☆23Updated last year
- Distortion invariant feature learning for image restoration from a causality perspective☆50Updated 2 years ago
- Official PyTorch implementation of Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRI☆17Updated 2 years ago
- Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution☆51Updated 10 months ago
- ☆31Updated 2 years ago
- Deep Fourier Upsampling☆70Updated 3 months ago
- TMM 2024 The code of ' Degradation-Aware Self-Attention Based Transformer for Blind Image Super-Resolution '.☆27Updated last year
- [CVPRW 2024] Training Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution☆44Updated last year
- ☆32Updated 2 years ago
- ☆49Updated 10 months ago
- Random Sub-Samples Generation for Self-Supervised Real Image Denoising (ICCV 2023)☆41Updated 2 years ago
- PyTorch implementation for Comprehensive and Delicate: An Efficient Transformer for Image Restoration (CVPR 2023).☆58Updated 2 years ago
- Official repository for the paper "Random Shuffle Transformer for Image Restoration".☆17Updated last year
- A Unified Conditional Framework for Diffusion-based Image Restoration☆92Updated last year
- A novel network for image reatoration. Mixed Hierarchy Network for Image Restoration.☆33Updated 9 months ago
- [ICCV2023] Implementation of "Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Imag…☆105Updated 9 months ago