文章信息
标题
Ref-NeRF - Structured View-Dependent Appearance for Neural Radiance Fields
反射-NeRF: 一种结构化的依赖视角的神经辐射场外观表示
作者
Dor Verbin Harvard University Google Research
Peter Hedman Google Research
Ben Mildenhall Google Research
Todd Zickler Harvard University
Jonathan T. Barron Google Research
Pratul P. Srinivasan Google Research
我个人还是比较喜欢看看作者的来头的,因为总觉得查看一个人的人生阅历,能够知道一些什么东西。具体知道什么不好说,但还是愿意看一看。
发表信息
论文发表时间:挂在Arxiv上面的时间是[v1] Tue, 7 Dec 2021 18:58:37 UTC (37,680 KB) 并且只有这一个版本。
该文章后续发表于2022年的CVPR上,评选的奖项是Oral Presentation, Best Student Paper Honorable Mention。
引用信息
该引用信息来自该项目党的主页Home Page,是CVPR发表之后的引用。看这个格式,应该是从谷歌学术上摘下来的。
@article{verbin2022refnerf,
title={\{Ref-NeRF\}: Structured View-Dependent Appearance for
Neural Radiance Fields},
author={Dor Verbin and Peter Hedman and Ben Mildenhall and
Todd Zickler and Jonathan T. Barron and Pratul P. Srinivasan},
journal={CVPR},
year={2022}
}
@InProceedings{Verbin_2022_CVPR,
author = {Verbin, Dor and Hedman, Peter and Mildenhall, Ben and Zickler, Todd and Barron, Jonathan T. and Srinivasan, Pratul P.},
title = {Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2022},
pages = {5491-5500}
}
评论