Anti-Aliased Neural Implicit Surfaces with Encoding Level of Detail-Reference-Cited by-同舟云学术

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Anti-Aliased Neural Implicit Surfaces with Encoding Level of Detail

Published:2023-12-10 Issue: Volume: Page:
ISSN:
Container-title:SIGGRAPH Asia 2023 Conference Papers
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Author:

Zhuang Yiyu¹^ORCID,Zhang Qi²^ORCID,Feng Ying²^ORCID,Zhu Hao¹^ORCID,Yao Yao¹^ORCID,Li Xiaoyu²^ORCID,Cao Yan-Pei²^ORCID,Shan Ying²^ORCID,Cao Xun¹^ORCID

Affiliation:

1. Nanjing University, China

2. Tencent, China

Funder

National Science Foundation

Tencent Rhino-Bird Research Program

NSF (National Science Foundation)

National Key Research and Development Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3610548.3618197

Reference57 articles.

1. Large-Scale Data for Multiple-View Stereopsis

2. PatchMatch

3. Jonathan T Barron Ben Mildenhall Dor Verbin Pratul P Srinivasan and Peter Hedman. 2022. Mip-nerf 360: Unbounded anti-aliased neural radiance fields. In CVPR. 5470–5479.

4. The ball-pivoting algorithm for surface reconstruction

5. A probabilistic framework for space carving

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-Based View Synthesis;ACM Transactions on Graphics;2024-07-19

2. Recent advances in 3D Gaussian splatting;Computational Visual Media;2024-07-08

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