The Image Colorization Network

[paper]

The Tensorflow version of the ColorNet issued on SIGGRAPH 2016. Please check out the original website for the details.

They have done the good job and provide the implementation of Torch version. I know nothing about the Torch but I know a bit of Tensorflow, so this is for the Tensorflow developers. The project is still on going, feel free to contribute it.

TODO

• Finish the loss function.

• Verify every network components, check the ranks of the tensors are matched.

• Write the training codes and testing codes.

• Collect the training data set and validation set.

Author

@Article{IizukaSIGGRAPH2016,
  author = {Satoshi Iizuka and Edgar Simo-Serra and Hiroshi Ishikawa},
  title = {{Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification}},
  journal = "ACM Transactions on Graphics (Proc. of SIGGRAPH 2016)",
  year = 2016,
  volume = 35,
  number = 4,
}