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CVPR2023顶会

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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