Generating Part-Aware Editable 3D Shapes without 3D Supervision
Konstantinos Tertikas, Despoina Paschalidou, Boxiao Pan, Jeong Joon Park, Mikaela Angelina Uy, Ioannis Z. Emiris, Yannis Avrithis, Leonidas J. Guibas
2023年份
15顶会引用
摘要
Figure 1 . Part-Aware Controllable 3D Shape Generation and Editing. We address the task of part-aware 3D shape generation and editing without explicit 3D supervision. Prior part-aware generative models [34, 40] assume 3D supervision, at training, and only allow changing the shape of the object. In this work, we introduce PartNeRF, a generative model capable of editing the shape and appearance of generated shapes that are parametrized as a collection of locally defined NeRFs.
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引用它的顶会 Paper15
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