Taiki Watanabe
ABSTRACT
Automatic line-drawings colorization of anime characters is a challenging problem in computer graphics. The previous fully automatic colorization method suffers from colorization accuracy and costs colorization artists to validate and correct colorization errors. We propose to improve the colorization accuracy by introducing “pre-colorization” step into our production pipeline that requests user to manually colorize partial regions in line-drawings before doing automatic colorization. The pre-colorized regions work as clues to colorize the other regions and improve the colorization accuracy. We found an optimal region to be pre-colorized to obtain the best automatic colorization performance.
Supplemental Material
Available for Download
- Daichi Ishii, Hiroyuki Kubo, Seitaro Shinagawa, Akinobu Maejima, Takuya Funatomi, Satoshi Nakamura, and Yasuhiro Mukaigawa. 2020. Confidence-aware Practical Anime-style Colorization. In Special Interest Group on Computer Graphics and Interactive Techniques Conference Talks. 1–2.Google Scholar
- Olaf Ronneberger, Philipp Fischer, and Thomas Brox. 2015. U-net: Convolutional networks for biomedical image segmentation. In International Conference on Medical image computing and computer-assisted intervention. Springer, 234–241.Google ScholarCross Ref
Index Terms
- Improved Automatic Colorization by Optimal Pre-colorization
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