| Paper | Link | Code |
|---|---|---|
| Multi-Stage Progressive Image Restoration | CVPR 2021 | MPRNet |
| SwinIR: Image Restoration Using Swin Transformer | ICCV 2021 | SwinIR |
| Uformer: A General U-Shaped Transformer for Image Restoration | CVPR 2022 | Uformer |
| Restormer: Efficient Transformer for High-Resolution Image Restoration | CVPR 2022 | Restormer |
| Simple Baselines for Image Restoration | ECCV2022 | NAFNet |
| Revitalizing Convolutional Network for Image Restoration | TPAMI 2024 | ConvIR |
| MambaIR: A Simple Baseline for Image Restoration with State-Space Model | ECCV 2024 | MambaIR |
| Paper | Link | Code |
|---|---|---|
| Learning a convolutional neural network for non-uniform motion blur removal | CVPR 2015 | Code 1, Code 2 |
| Learning to deblur | TPAMI 2016 | |
| Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring | CVPR 2017 | DeepDeblur, GoPro |
| Motion blur kernel estimation via deep learning | TIP 2018 | Code & Project page |
| Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks | CVPR 2018 | Code |
| Scale-recurrent network for deep image deblurring | CVPR 2018 | SRN |
| Deblurgan: Blind motion deblurring using conditional adversarial networks | CVPR 2018 | DeblurGAN |
| Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring | CVPR2019 | DMPHN |
| DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better | ICCV 2019 | DeblurGANv2 |
| Human-Aware Motion Deblurring | ICCV 2019 | HIDE |
| Tell Me Where It is Still Blurry: Adversarial Blurred Region Mining and Refining | ACM MM 2019 | |
| Rethinking Coarse-to-Fine Approach in Single Image Deblurring | ICCV 2021 | MIMO-UNet |
| Deep Residual Fourier Transformation for Single Image Deblurring | arXiv 2021 | DeepRFT-v1 |
| Intriguing Findings of Frequency Selection for Image Deblurring | AAAI 2023 | DeepRFT-v1.5 |
| Self-supervised Non-uniform Kernel Estimation with Flow-based Motion Prior for Blind Image Deblurring | CVPR 2023 | UFPNet |
| Effcient Frequence Domain-based Transformer for High-Quality Image Deblurring | CVPR 2023 | FFTformer |
| LoFormer: Local Frequency Transformer for Image Deblurring | ACM MM 2024 | LoFormer |
| Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring | ACM MM 2024 | ALGNet |
| Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring | CVPR 2024 | MISCFilter |
| AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring | CVPR 2024 | AdaRevD |
| Efficient Visual State Space Model for Image Deblurring | arXiv 2024 | EVSSM |
| Paper | Link | Code |
|---|---|---|
| ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic | CVPR 2021 | ClassSR |
| Adaptive Patch Exiting for Scalable Single Image Super-Resolution | ECCV 2022 | APE-SR |
| Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary | CVPR 2024 | ATD |
| GaussianSR: High Fidelity 2D Gaussian Splatting for Arbitrary-Scale Image Super-Resolution | AAAI 2025 | GaussianSR |