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