Neural Vector Fields: Implicit Representation by Explicit Learning-Reference-Cited by-同舟云学术

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Neural Vector Fields: Implicit Representation by Explicit Learning

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

Yang Xianghui¹,Lin Guosheng²,Chen Zhenghao¹,Zhou Luping¹

Affiliation:

1. The University of Sydney

2. Nanyang Technological University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10205054.pdf?arnumber=10205054

Reference84 articles.

1. Autoregressive 3d shape generation via canon-ical mapping;cheng;ECCV,0

2. Volumetric 3D mapping in real-time on a CPU

3. Learning Implicit Fields for Generative Shape Modeling

4. PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization

5. Neural unsigned distance fields for implicit function learning;chibane;Ad-vances in Neural Information Processing Systems (NeurIPS),0

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1. Towards Digital Twins of 3D Reconstructed Apparel Models with an End-to-End Mobile Visualization;Applied Sciences;2023-07-25

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