Name
Title | ||
|---|---|---|
Pre- and post-processes for automatic colorization using a fully convolutional network. |
Abstract | ||
|---|---|---|
Automatic colorization is a significant task especially for Anime industry. An original trace image to be colorized contains not only outlines but also boundary contour lines of shadows and highlight areas. Unfortunately, these lines tend to decrease the consistency among all images. Thus, this paper provides a method for a cleaning pre-process of anime dataset to improve the prediction quality of a fully convolutional network, and a refinement post-process to enhance the output of the network.
|
Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3283289.3283307 | SA '18: SIGGRAPH Asia 2018
Tokyo
Japan
December, 2018 |
Field | DocType | ISBN |
Computer vision,Computer graphics (images),Computer science,Contour line,Artificial intelligence,Anime | Conference | 978-1-4503-6063-0 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sophie Ramassamy | 1 | 0 | 0.34 |
| Hiroyuki Kubo | 2 | 11 | 10.03 |
| Takuya Funatomi | 3 | 74 | 24.62 |
| Daichi Ishii | 4 | 0 | 0.68 |
| Akinobu Maejima | 5 | 58 | 20.57 |
| Satoshi Nakamura | 6 | 1099 | 194.59 |
| Yasuhiro Mukaigawa | 7 | 478 | 53.31 |