t-Regina: Data-driven Authoring of Free-form Registration for Cartoon Character Sprites
Tsukasa Fukusato1 and Akinobu Maejima2
1 Waseda University
2 OLM Digital Inc.
Computer Graphics Forum, Special Issue of SCA 2026
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Abstract
Abstract
This paper proposes t-Regina, a novel iterative scheme that automates the manipulation of grid handles in free-form deformation (FFD) for deformable registrations of cartoon character sprites. First, we build a data-driven FFD (dFFD) that enables users to handle locations of FFD handles from lower-dimensional parameters. To prepare training data, we implement an FFD-based puppet tool and recorded the user-designed locations of grid handles. Second, we iteratively optimize the parameters of dFFD by using a locally optimal block matching algorithm with almost-uniform sampling strategies. t-Regina is effective and easy to integrate into existing drawing systems. This paper shows some examples of deformation results to demonstrate the robustness of t-Regina.
Acknowledgement
Acknowledgement
This paper is based on results obtained from GENIAC (Generative AI Accelerator Challenge, a project to strengthen Japan’s generative AI development capabilities), a project implemented by the Ministry of Economy, Trade, and Industry (METI) and the New Energy and Industrial Technology Development Organization (NEDO). This work was partially supported by JSPS KAKENHI Grant Number JP24K20910.
Publication
Publication
Tsukasa Fukusato and Akinobu Maejima. "t-Regina: Data-driven Authoring of Free-form Registration for Cartoon Character Sprites." Computer Graphics Forum (Special Issue of SCA 2026), Vol.XX, Issue.XX, pp.XX--XX, 2026.XX. (accepted)
Paper
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Related Publication
Related Publication
Tsukasa Fukusato, Akinobu Maejima, and Takeo Igarashi. "Locality-Preserving Free-Form Deformation." The Visual Computer (Special Issue of CGI 2025), Vol.41, Issue.9, pp.6905--6915, 2025.05. [doi]
Tsukasa Fukusato, Ryohei Shibata, Seung-Tak Noh, and Takeo Igarashi. "Interactive Texture Editing for Garment Line Drawings." Computer Animation and Virtual Worlds (Special Issue of CGI 2022), Vol.33, Issue.6, pp.e2117:1--e2117:13, Wiley, 2022.12. [doi]
Miyu Hashimoto, Tsukasa Fukusato, and Takeo Igarashi. "Neurally-Guided Texturing for Garment Line Drawings." ACM SIGGRAPH ASIA 2020 Technical Communications, pp.3:1--3:4, Online, 2020.12.04-13. [doi]
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