Stars
This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https://arxiv.org/abs/2203.04962)
[AAAI'26 - Oral] Realism Control One-step Diffusion for Real-World Image Super-Resolution
[ISPRS 2025] Semantic-Guided Large-Scale Factor Remote Sensing Image Super-Resolution with Generative Diffusion Prior
[CVPR 2025] Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model
Rank-Factorized Implicit Neural Bias: Scaling Super-Resolution Transformer with FlashAttention
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
CVPR2025-Progressive Focused Transformer for Single Image Super-Resolution
Arbitrary-steps Image Super-resolution via Diffusion Inversion (CVPR 2025)
CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer TPAMI - HAT: Hybrid Attention Transformer for Image Restoration
[ICCV'23] Dual Aggregation Transformer for Image Super-Resolution
Official code for "SRFormer: Permuted Self-Attention for Single Image Super-Resolution" (ICCV 2023) and SRFormerV2
[IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution
Taming Transformers for High-Resolution Image Synthesis
High-Resolution Image Synthesis with Latent Diffusion Models
Arbitrary-scale image super-resolution (ISR) and video super-resolution (VSR)
[ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …
[CVPR2026] VOSR: A Vision-Only Generative Model for Image Super-Resolution
[CVPR2024] SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
A list of methods for mismatch removal in image matching.
MapGlue: Multimodal Remote Sensing Image Matching
The first large-scale multimodal dialogue dataset focusing on Synthetic Aperture Radar (SAR) imagery.
SARCLIP: A Multimodal Foundation Framework for SAR Imagery via Contrastive Language-Image Pre-Training
The official implementation of Conditional Diffusion for SAR to Optical Image Translation