Neural Image Representations for Multi-Image Fusion and Layer Separation

Project Page | Paper

A PyTorch implementation of the paper "Neural Image Representations for Multi-Image Fusion and Layer Separation".

Jupyter notebook scripts

• Our code is implemented on Jupyter notebook.
• Download data, and unzip the file under the root. e.g. ~/nir/data
• ./visualization.ipynb
  Visualization of learned canonical view in neural image representations.
• ./moire_removal.ipynb, ./obstruction_removal.ipynb, ./rain_removal.ipynb
  Moire removal, obstruction removal (reflection, fence), rain removal

Citation

Please cite our paper when you use this code.

@inproceedings{nam2022neural,
  title={Neural Image Representations for Multi-Image Fusion and Layer Separation},
  author={Nam, Seonghyeon and Brubaker, Marcus A and Brown, Michael S},
  booktitle={European Conference on Computer Vision (ECCV)},
  year={2022}
}

Reference

Our implementation is based on the official code of SIREN: https://github.com/vsitzmann/siren

Contact

Please contact snam0331 AT gmail.com if you have any question about this work.