Caffe Underwater-color-correction

This is a modified version of caffe-SegNet which supports the architecture of underwater color correction network for WaterGAN.

This network module provide end-to-end color correction for underwater images, as described in WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images(https://arxiv.org/abs/1702.07392)

Dataset

1. MHL test tank dataset: MHL.tar.gz
2. Jamaica field dataset: Jamaica.tar.gz

Model Zoo

1. MHL test tank color-net depth-net

2. Jamaica Port Royal color-net depth-net

3. Lizard Island color-net depth-net

Net specification

Training

Publications

@article{li2017watergan,
    author    = {Jie Li, Katherine A. Skinner, Ryan M. Eustice and
               Matthew Johnson{-}Roberson},
  title     = {WaterGAN: Unsupervised Generative Network to Enable Real-time Color
               Correction of Monocular Underwater Images},
  journal   = {CoRR},
  volume    = {abs/1702.07392},
  year      = {2017},
  url       = {http://arxiv.org/abs/1702.07392},
  timestamp = {Wed, 01 Mar 2017 14:26:00 +0100},
  biburl    = {http://dblp.uni-trier.de/rec/bib/journals/corr/LiSEJ17},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}

License

This extension to the Caffe library is released under a creative commons license which allows for personal and research use only. For a commercial license please contact the authors. You can view a license summary here: http://creativecommons.org/licenses/by-nc/4.0/