Continuous Spatial-Spectral Reconstruction via Implicit Neural Representation, in International Journal of Computer Vision (IJCV) 2024. Ruikang Xu, Mingde Yao, Chang Chen, Lizhi Wang, and Zhiwei Xiong.
Prepare the ICVL dataset for training, it can be downloaded from this link.
Processed test dataset for inference can be downloaded from BaiduYun (Access code: ijcv).
- Python 3.8.8, PyTorch 1.8.0, torchvision 0.9.0.
- NumPy 1.24.2, OpenCV 4.7.0, Tensorboardx 2.5.1, Pillow, Imageio, SciPy.
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Download the pre-trained model from BaiduYun (Access code: ijcv).
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Inference with pre-trained model:
cd ./SpectralRec && python test.py
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Download the pre-trained model from BaiduYun (Access code: ijcv).
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Inference with pre-trained model:
cd ./SpatialRec && python test.py
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Download the pre-trained model from BaiduYun (Access code: ijcv).
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Inference with pre-trained model:
cd ./JointRec && python test.py
Any question regarding this work can be addressed to [email protected].
If you find our work helpful, please cite the following paper.
@article{xu2024continuous,
title={Continuous Spatial-Spectral Reconstruction via Implicit Neural Representation},
author={Xu, Ruikang and Yao, Mingde and Chen, Chang and Wang, Lizhi and Xiong, Zhiwei},
journal={International Journal of Computer Vision},
pages={1--23},
year={2024},
publisher={Springer}
}