https://github.com/ChaofWang/Awesome-Super-Resolution
Collect super-resolution related papers, data, repositories
https://github.com/ChaofWang/Awesome-Super-Resolution
List: Awesome-Super-Resolution
Last synced: 25 days ago
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Collect super-resolution related papers, data, repositories
- Host: GitHub
- URL: https://github.com/ChaofWang/Awesome-Super-Resolution
- Owner: ChaofWang
- Created: 2019-04-20T15:32:50.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2024-04-29T02:59:26.000Z (12 months ago)
- Last Synced: 2024-05-19T01:00:31.381Z (11 months ago)
- Size: 251 KB
- Stars: 2,280
- Watchers: 94
- Forks: 344
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesomeai - Super Resolution (ChaofWang)
- awesome-ai-awesomeness - Super Resolution (ChaofWang)
- awesome-ai-awesomeness - Super Resolution (ChaofWang)
- awesome-list - ChaofWang/Awesome-Super-Resolution - Collect super-resolution related papers, data, repositories (Machine Learning / JavaScript)
- Awesome-Computer-Vision - 15
- ultimate-awesome - Awesome-Super-Resolution - Collect super-resolution related papers, data, repositories. (Other Lists / Julia Lists)
README
# Quick navigation
- [repositories](awesome_paper_list_and_repos.md)
- [Datasets](dataset.md)
- [papers](#papers)
- [Non-DL based approach](non_dl_papers.md)
- [DL based approach](#DL-based-approach)
- [2014-2016](2014-2016_papers.md)
- [2017](2017_papers.md)
- [2018](2018_papers.md)
- [2019](2019_papers.md)
- [2020](2020_papers.md)
- [2021](2021_papers.md)
- [2022](2022_papers.md)
- [2023](2023_papers.md)
- [2024](2024_papers.md)
- [2025](#2025)
- [Super Resolution workshop papers](workshops.md)
- [Super Resolution survey](sr_survey.md)
# Awesome-Super-Resolution（in progress）
Collect some super-resolution related papers, data and repositories.
## papers
### DL based approach
Note this table is referenced from [here](https://github.com/LoSealL/VideoSuperResolution/blob/master/README.md#network-list-and-reference-updating)
### 2025
More years papers, plase check Quick navigation
| Title | Model | Published | Code | Keywords |
| ---------------------- | ---------------------- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
|CLIP-SR: Collaborative Linguistic and Image Processing for Super-Resolution|CLIP-SR | [arxiv](https://arxiv.org/abs/2412.11609) | | |
|Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution|DPI | [AAAI25](https://arxiv.org/abs/2412.16552) |[code](https://github.com/JerryYann/DPI) | |
|STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution|STAR | [arxiv](https://arxiv.org/abs/2501.02976) |[code](https://nju-pcalab.github.io/projects/STAR/) | |
|StructSR: Refuse Spurious Details in Real-World Image Super-Resolution|StructSR | [AAAI25](https://arxiv.org/abs/2501.05777) |[code](https://github.com/LYCEXE/StructSR) | |
|Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-Resolution|GSASR | [arxiv](https://arxiv.org/abs/2501.06838) |[code](https://github.com/ChrisDud0257/GSASR) | |
|DiffVSR: Revealing an Effective Recipe for Taming Robust Video Super-Resolution Against Complex Degradations|DiffVSR | [arxiv](https://arxiv.org/abs/2501.10110) |[code](https://xh9998.github.io/DiffVSR-project/) | |
|BF-STVSR: B-Splines and Fourier-Best Friends for High Fidelity Spatial-Temporal Video Super-Resolution|BF-STVSR | [arxiv](https://arxiv.org/abs/2501.11043) | | |
|Efficient Attention-Sharing Information Distillation Transformer for Lightweight Single Image Super-Resolution|ASID | [AAAI25](https://arxiv.org/abs/2501.15774) |[code](https://github.com/saturnian77/ASID) | |
|Visual Autoregressive Modeling for Image Super-Resolution|VARSR | [arxiv](https://arxiv.org/abs/2501.18993) |[code](https://github.com/quyp2000/VARSR) | |
|BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution|BiMaCoSR | [arxiv](https://arxiv.org/abs/2502.00333) |[code](https://github.com/Kai-Liu001/BiMaCoSR) | |
|One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation|FluxSR | [arxiv](https://arxiv.org/abs/2502.01993) |[code](https://github.com/JianzeLi-114/FluxSR) | |
|Fast Omni-Directional Image Super-Resolution: Adapting the Implicit Image Function with Pixel and Semantic-Wise Spherical Geometric Priors|FAOR | [AAAI25](https://arxiv.org/abs/2502.05902) |[code](https://github.com/GingaUL/FAOR) | |
|Spatial Degradation-Aware and Temporal Consistent Diffusion Model for Compressed Video Super-Resolution|SDATC | [arxiv](https://arxiv.org/abs/2502.07381) | | |
|CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-Resolution|CondiQuant | [arxiv](https://arxiv.org/abs/2502.15478) |[code](https://github.com/Kai-Liu001/CondiQuant) | |
|DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution|DifIISR | [CVPR25](https://arxiv.org/abs/2503.01187) |[code](https://github.com/zirui0625/DifIISR) | |
|AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning|AutoLUT | [CVPR25](https://arxiv.org/abs/2503.01565) |[code](https://github.com/SuperKenVery/AutoLUT) | |
|QArtSR: Quantization via Reverse-Module and Timestep-Retraining in One-Step Diffusion based Image Super-Resolution|QArtSR | [arxiv](https://arxiv.org/abs/2503.05584) |[code](https://github.com/libozhu03/QArtSR) | |
|Emulating Self-attention with Convolution for Efficient Image Super-Resolution|ESC | [arxiv](https://arxiv.org/abs/2503.06671) |[code](https://github.com/dslisleedh/ESC) | |
|CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution|CATANet | [CVPR25](https://arxiv.org/abs/2503.06896) |[code](https://github.com/EquationWalker/CATANet) | |
|AdaptSR: Low-Rank Adaptation for Efficient and Scalable Real-World Super-Resolution|AdaptSR | [arxiv](https://arxiv.org/abs/2503.07748) | | |
|MegaSR: Mining Customized Semantics and Expressive Guidance for Image Super-Resolution|MegaSR | [arxiv](https://arxiv.org/abs/2503.08096) |[code](https://github.com/striveAgain/MegaSR) | |
|Dual-domain Modulation Network for Lightweight Image Super-Resolution|DMNet | [arxiv](https://arxiv.org/abs/2503.10047) || |
|Dynamic Attention-Guided Diffusion for Image Super-Resolution|MegaSR | [WACV 2025](https://arxiv.org/pdf/2308.07977) | | |