English(EN) No Pixel Left Behind: Filling Gaps in Anime Colorization

AI工具GapFill通过填补未着色区域来简化动漫着色

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-02 04:00

研究人员开发了GapFill，这是一种新颖的工具，旨在自动化动漫着色工作流程中检测和填补小型未着色区域。这种深度学习方法分析周围区域，为动漫风格图像的平面着色特性建议合适的填充颜色。一项涉及13名专业着色师的用户研究表明，与传统方法相比，GapFill提高了性能和可用性，尽管用户信任和颜色的上下文歧义被认为是采用的重要因素。 AI

影响该工具可以显著加快动漫制作中的数字着色过程，有可能降低成本并提高产量。

排序理由该集群包含一篇详细介绍特定应用领域的新AI方法和工具的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

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Newsworthiness bucket: Tool; 该集群包含一篇详细介绍特定应用领域的新AI方法和工具的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Masahiro Kono, Akinobu Maejima, Yuki Koyama, Yotam Sechayk, Takeo Igarashi · 2026-09-02 04:00

不留一帧遗憾：填补动漫着色中的空白

arXiv:2609.00800v1 Announce Type: cross Abstract: 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 (an…

本文如何被排名

报道来源 [1]

不留一帧遗憾：填补动漫着色中的空白

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