Learning an Interpretable Stylized Subspace for 3D-Aware Animatable Artforms

Throughout history, static paintings have captivated viewers within display frames, yet the possibility of making these masterpieces vividly interactive remains intriguing. This research paper introduces 3DArtmator, a novel approach that aims to represent artforms in a highly interpretable stylized...

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Publié dans:IEEE transactions on visualization and computer graphics. - 1996. - 31(2025), 2 vom: 23. Feb., Seite 1465-1477
Auteur principal: Zheng, Chenxi (Auteur)
Autres auteurs: Liu, Bangzhen, Xu, Xuemiao, Zhang, Huaidong, He, Shengfeng
Format: Article en ligne
Langue:English
Publié: 2025
Accès à la collection:IEEE transactions on visualization and computer graphics
Sujets:Journal Article