A 0.59μJ/pixel High-throughput Energy-efficient Neural Volume Rendering Accelerator on FPGA-Reference-Cited by-同舟云学术

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A 0.59μJ/pixel High-throughput Energy-efficient Neural Volume Rendering Accelerator on FPGA

Published:2024-04-21 Issue: Volume: Page:1-2
ISSN:
Container-title:2024 IEEE Custom Integrated Circuits Conference (CICC)
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Author:

Yuan Zhechen¹,Yuan Binzhe¹,Gu Yuhan¹,Zheng Yueyang¹,He Yunxiang¹,Wang Xuexin¹,Rao Chaolin²,Zhou Pingqiang¹,Yu Jingyi¹,Lou Xin¹

Affiliation:

1. Shanghai Tech University

2. GGU Technology Co., Ltd,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10528947/10528954/10529071.pdf?arnumber=10529071

Reference6 articles.

1. NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

2. Instant neural graphics primitives with a multiresolution hash encoding

3. FastNeRF: High-Fidelity Neural Rendering at 200FPS

4. ICARUS

5. RT-NeRF

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