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CVPR2023Top-tier venue

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

2023Year
15Top-tier citations

Abstract

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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