Two-stage sketch colorization
Publication in refereed journal

替代計量分析
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其它資訊
摘要Sketch or line art colorization is a research field with significant market demand. Different from photo colorization which strongly relies on texture information, sketch colorization is more challenging as sketches may not have texture. Even worse, color, texture, and gradient have to be generated from the abstract sketch lines. In this paper, we propose a semi-automatic learning-based framework to colorize sketches with proper color, texture as well as gradient. Our framework consists of two stages. In the first drafting stage, our model guesses color regions and splashes a rich variety of colors over the sketch to obtain a color draft. In the second refinement stage, it detects the unnatural colors and artifacts, and try to fix and refine the result. Comparing to existing approaches, this two-stage design effectively divides the complex colorization task into two simpler and goal-clearer subtasks. This eases the learning and raises the quality of colorization. Our model resolves the artifacts such as water-color blurring, color distortion, and dull textures.

We build an interactive software based on our model for evaluation. Users can iteratively edit and refine the colorization. We evaluate our learning model and the interactive system through an extensive user study. Statistics shows that our method outperforms the state-of-art techniques and industrial applications in several aspects including, the visual quality, the ability of user control, user experience, and other metrics.
著者Lvmin Zhang, Chengze Li, Tien-Tsin Wong, Yi Ji, Chunping Liu
期刊名稱ACM Transactions on Graphics
出版年份2018
月份11
卷號37
期次6
出版社ACM
出版地USA
文章號碼261
國際標準期刊號0730-0301
電子國際標準期刊號1557-7368
語言美式英語
關鍵詞Machine learning, deep learning, computer graphics, colorization, computational manga

上次更新時間 2020-07-08 於 01:29