A curated list of colorization resources.
- Colorful Image Colorization (2016), Richard Zhang et al. [pdf]
- Learning Representations for Automatic Colorization (2016), Gustav Larsson et al. [pdf]
- Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification (2016), Satoshi Iizuka et al. [pdf]
- Pixcolor: pixel recursive colorization (2017), Sergio Guadarrama et al. [pdf]
- Probabilistic Image Colorization (2017), Amelie Royer et al. [pdf]
- Real-Time User-Guided Image Colorization with Learned Deep Priors (2017), Richard Zhang et al. [pdf]
- Interactive Deep Colorization with Simulaneous Global and Local Inputs (2018), Yi Xiao et al. [pdf]
- Image-to-Image Translation with Conditional Adversarial Networks (2016), Phillip Isola et al. [pdf]
- It Takes (Only) Two: Adversarial Generator-Encoder Networks (2017), Dmitry Ulyanov et al. [pdf]
- User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks (2018), Yuanzheng Ci et al. [pdf]
- Colorize Photos - Use deep learning to automatically colorize black and white photos
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