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Controllable Neural Style Transfer for Dynamic Meshes Guilherme G. Haetinger, Jingwei Tang, Raphael Ortiz, Paul Kanyuk, Vinicius C. Azevedo July 2024 In recent years, animation movies are shifting from realistic representations to more stylized depictions that support unique design languages. To favor that, recent works implemented a Neural Style Transfer (NST) pipeline that supports the stylization of 3D assets by 2D images. In this paper we propose a novel mesh stylization ... more Paper (PDF) SIGGRAPH 2024 |