Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation

Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation, In ECCVW 2022.
Ruikang Xu, Mingde Yao, Chang Chen, Lizhi Wang, and Zhiwei Xiong.
MIPI Workshop Best Paper Honorable Mention.

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Dependencies

• Python 3.7.0, PyTorch 1.13.0.
• NumPy 1.21.2, OpenCV 4.5.3, Pillow, Imageio, SciPy.

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Quick Start

We take spectral reconstruction with an arbitrary number of spectral bands on the ICVL dataset as example.

• Prepare the ICVL dataset before inference, it can be downloaded from this link.

• Download the pre-trained model from BaiduYun (Access code: eccv).

• Inference with pre-trained model:

  cd ./code && python test.py
  

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Contact

Any question regarding this work can be addressed to xurk@mail.ustc.edu.cn and mdyao@mail.ustc.edu.cn.

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Citation

If you find our work helpful, please cite the following paper.

@inproceedings{xu2022continuous,
  title={Continuous spectral reconstruction from rgb images via implicit neural representation},
  author={Xu, Ruikang and Yao, Mingde and Chen, Chang and Wang, Lizhi and Xiong, Zhiwei},
  booktitle={European Conference on Computer Vision Workshop (ECCVW)} ,
  year={2022}
}