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SelfDZSR (ECCV 2022)

Official PyTorch implementation of SelfDZSR

Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations <br> ECCV, 2022 <br> Zhilu Zhang, Ruohao Wang, Hongzhi Zhang, Yunjin Chen, Wangmeng Zuo <br>Harbin Institute of Technology, China

The extended version of SelfDZSR has been accepted by IEEE TPAMI in 2024.

Self-Supervised Learning for Real-World Super-Resolution from Dual and Multiple Zoomed Observations <br> IEEE TPAMI, 2024 <br> Zhilu Zhang, Ruohao Wang, Hongzhi Zhang, Wangmeng Zuo <br>Harbin Institute of Technology, China <br>GitHub: https://github.com/cszhilu1998/SelfDZSR_PlusPlus

1. Framework

<p align="center"><img src="introduction.png" width="95%"></p> <p align="center">Overall pipeline of proposed SelfDZSR in the training and testing phase.</p>

2. Preparation and Datasets

3. Quick Start

3.1 Pre-trained models

3.2 Training

3.3 Testing

3.4 Note

4. Citation

If you find it useful in your research, please consider citing:

@inproceedings{SelfDZSR,
    title={Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations},
    author={Zhang, Zhilu and Wang, Ruohao and Zhang, Hongzhi and Chen, Yunjin and Zuo, Wangmeng},
    booktitle={European Conference on Computer Vision (ECCV)},
    year={2022}
}

@article{SelfDZSR_PlusPlus,
    title={Self-Supervised Learning for Real-World Super-Resolution from Dual and Multiple Zoomed Observations},
    author={Zhang, Zhilu and Wang, Ruohao and Zhang, Hongzhi and Zuo, Wangmeng},
    journal={IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
    year={2024},
    publisher={IEEE}
}

5. Acknowledgement

This repo is built upon the framework of CycleGAN, and we borrow some code from C2-Matching and DCSR, thanks for their excellent work!