Parameterization-driven neural surface reconstruction for object-oriented editing in neural rendering

The advancements in neural rendering have increased the need for techniques that enable intuitive editing of 3D objects represented as neural implicit surfaces. This paper introduces a novel neural algorithm for parameterizing neural implicit surfaces to simple parametric domains like spheres and...

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Bibliographic Details
Main Authors: Xu, Baixin, Hu, Jiangbei, Hou, Fei, Lin, Kwan-Yee, Wu, Wayne, Qian, Chen, He, Ying
Other Authors: College of Computing and Data Science
Format: Conference Paper
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10356/180248
http://arxiv.org/abs/2310.05524v3

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