RT-Octree: Accelerate PlenOctree Rendering with Batched Regular Tracking and Neural Denoising for Real-time Neural Radiance Fields-Reference-Cited by-同舟云学术

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RT-Octree: Accelerate PlenOctree Rendering with Batched Regular Tracking and Neural Denoising for Real-time Neural Radiance Fields

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

Author:

Shu Zixi¹^ORCID,Yi Ran¹^ORCID,Meng Yuqi¹^ORCID,Wu Yutong¹^ORCID,Ma Lizhuang¹^ORCID

Affiliation:

1. Shanghai Jiao Tong University, China

Funder

Shanghai Sailing Program

Young Elite Scientists Sponsorship Program by CAST

National Natural Science Foundation of China

Shanghai Municipal Science and Technology Major Project

Shanghai Science and Technology Commission

CCF-Tencent Open Research Fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3610548.3618214

Reference49 articles.

1. Challenges in cloud based ingest and encoding for high quality streaming media

2. Electron Number Distribution in Electron-Photon Showers

3. Electron number distribution in electron-photon showers in air and aluminium absorbers

4. Interactive reconstruction of Monte Carlo image sequences using a recurrent denoising autoencoder

5. Efficient Geometry-aware 3D Generative Adversarial Networks

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