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Shading-Guided Manga Screening From Reference.

Huisi Wu, Ziheng Ma, Wenliang Wu

IEEE Transactions on Visualization and Computer Graphics

|June 2, 2023

Summary

This study introduces a novel method for manga screening, decomposing the task into shading and screentone generation. This approach effectively converts line drawings into high-quality screened manga, overcoming limitations of existing techniques.

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Area of Science:

Computer Vision
Digital Art
Machine Learning

Background:

Manga screening is labor-intensive and costly.
Current methods struggle with quality and ambiguity, especially with deep learning.
Existing techniques generate basic screentones or require manual input.

Purpose of the Study:

To develop an automated manga screening system.
To address the domain gap between line drawings and screened manga.
To resolve ambiguity in screentone selection using reference images.

Main Methods:

Decomposition of manga screening into two sub-tasks: shading generation and screentone replacement.
Introduction of shaded line drawing as an intermediate representation.
Development of reference-based networks for shading and screentone generation.

Main Results:

The proposed system successfully generates high-quality screened manga from line drawings.
Visual and quantitative experiments confirm the system's effectiveness.
The method outperforms existing approaches in manga screening.

Conclusions:

The proposed two-stage approach effectively automates manga screening.
Reference-based generation resolves ambiguity and enhances control.
This method significantly improves the efficiency and quality of manga production.