NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces with Arbitrary Topologies-Reference-Cited by-同舟云学术

NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces with Arbitrary Topologies

Published:2023-06 Issue: Volume: Page:
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Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Long Xiaoxiao¹,Lin Cheng²,Liu Lingjie³,Liu Yuan¹,Wang Peng¹,Theobalt Christian³,Komura Taku¹,Wang Wenping⁴

Affiliation:

1. The University of Hong Kong

2. Tencent Games

3. Max Planck Institute for Informatics

4. Texas A&M University

Publisher

IEEE

Link

Reference53 articles.

2. Implicit geometric regularization for learning shapes;gropp;ArXiv Preprint,2020

4. Meshudf: Fast and differentiable meshing of unsigned distance field networks;guillard;ArXiv Preprint,2021

5. Deep fashion3d: A dataset and benchmark for 3d garment reconstruction from single images;zhu;European Conference on Computer Vision,2020

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2. Digging into Depth Priors for Outdoor Neural Radiance Fields;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26