deepcolor

Deep color and some baseline methods.

It contains CGAN based colorization methed and some baseline methods, e.g. U-net with mse loss, Transfer learning from ImageNet model.

Reference

• http://kvfrans.com/coloring-and-shading-line-art-automatically-through-conditional-gans/
• Zhang R, Isola P, Efros A A. Colorful Image Colorization[J]. 2016:649-666.
• Razavian A S, Azizpour H, Sullivan J, et al. CNN features off-the-shelf : An Astounding Baseline for Recognition[J]. 2014:512-519.

Code

• https://github.com/kvfrans/deepcolor
• https://github.com/phillipi/pix2pix
• https://zhuanlan.zhihu.com/p/25709644
• https://github.com/williamFalcon/pix2pix-keras
• https://github.com/baldassarreFe/deep-koalarization
• https://blog.floydhub.com/colorizing-b&w-photos-with-neural-networks/
• https://github.com/junyanz/interactive-deep-colorization

Dataset

• (safebooru)https://pan.baidu.com/s/1c1HOIHU
• (upsplash)https://www.floydhub.com/emilwallner/datasets/colornet