SOURCE-LINKED INTELLIGENCE
No Pixel Left Behind: Filling Gaps in Anime Colorization
Animation production workflows often involve digital colorization of line art, where small unpainted regions ("gaps") frequently occur and remain an underexplored challenge. We conducted a formative study in Japanese animation (anime) pipelines and found that while the paint bucket tool is widely used for base coloring, tiny enclosed areas are frequently overlooked, resulting in time-consuming manual detection and filling. We introduce GapFill, a tool grounded in professional practices that reduces the effort of gap detection, zooming, and color selection. Our deep-learning method suggests app
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-01T06:56:31.000Z
First collected: 2026-09-21T06:11:57.537Z. This is not the publication date.