React: Reference-Based Anime Colorization Transformer

The animation industry is expanding, yet coloring frames, particularly sketch coloring, remains labor-intensive. Automating anime sketch colorization is challenging due to sparse details and frame variations. Existing methods struggle with color bleeding and misapplication. We present the Reference-based Anime Colorization Transformer (ReACT), which uses two reference images to transfer color to sketches. ReACT incorporates a density-aware distance field map to improve sketch semantics and preserve details, while a Transformer leverages multi-source attention for accurate color alignment. Experimental results demonstrate that ReACT delivers high-quality, continuous colorization, outperforming existing methods.

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Published
2025-08-18
DOI
https://doi.org/10.1109/icip55913.2025.11084607
Primary Topic
Human Motion and Animation
Type
article
Field-Weighted Citation Impact
0.00

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article

React: Reference-Based Anime Colorization Transformer

Liang Wang, Wen-Jiin Tsai
Human Motion and Animation
article

React: Reference-Based Anime Colorization Transformer

Liang Wang, Wen-Jiin Tsai
article en

Abstract

The animation industry is expanding, yet coloring frames, particularly sketch coloring, remains labor-intensive. Automating anime sketch colorization is challenging due to sparse details and frame variations. Existing methods struggle with color bleeding and misapplication. We present the Reference-based Anime Colorization Transformer (ReACT), which uses two reference images to transfer color to sketches. ReACT incorporates a density-aware distance field map to improve sketch semantics and preserve details, while a Transformer leverages multi-source attention for accurate color alignment. Experimental results demonstrate that ReACT delivers high-quality, continuous colorization, outperforming existing methods.

National Yang Ming Chiao Tung University (TW)
Ministry of Science and Technology
Openalex Percentile: Top 75%
Human Motion and Animation
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