RIP-NeRF: Learning Rotation-Invariant Point-based Neural Radiance Field for Fine-grained Editing and Compositing-Reference-Cited by-同舟云学术

RIP-NeRF: Learning Rotation-Invariant Point-based Neural Radiance Field for Fine-grained Editing and Compositing

Published:2023-06-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 ACM International Conference on Multimedia Retrieval
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Author:

Wang Yuze¹^ORCID,Wang Junyi²^ORCID,Qu Yansong²^ORCID,Qi Yue³^ORCID

Affiliation:

1. State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, China and Qingdao Research Institute of Beihang University, China

2. State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, China

3. State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, China and Qingdao Research Institute of Beihang University, and Peng Cheng Laboratory, China

Funder

Key-Area Research and Development Program of Guangdong Province

Leading Talents in Innovation and Entrepreneurship of Qingdao

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3591106.3592276

Reference80 articles.

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2. Computing and rendering point set surfaces

3. Point-based computer graphics

4. Neural Point-Based Graphics

5. Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

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