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Alex Yu
Researcher at University of California, Berkeley
Publications - 7
Citations - 977
Alex Yu is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: 3D reconstruction & Real-time rendering. The author has an hindex of 5, co-authored 7 publications receiving 171 citations.
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pixelNeRF: Neural Radiance Fields from One or Few Images
TL;DR: For example, pixelNeRF as discussed by the authors predicts a continuous neural scene representation conditioned on one or few input images, which can be trained across multiple scenes to learn a scene prior, enabling it to perform novel view synthesis in a feed-forward manner from a sparse set of views.
Proceedings ArticleDOI
pixelNeRF: Neural Radiance Fields from One or Few Images
TL;DR: PixelNeRF as mentioned in this paper is a learning framework that predicts a continuous neural scene representation conditioned on one or few input images, enabling it to perform novel view synthesis in a feed-forward manner from a sparse set of views.
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PlenOctrees for Real-time Rendering of Neural Radiance Fields
TL;DR: In this article, an octree-based 3D representation is proposed for real-time rendering of neural radiance fields (NeRFs), which can render 800x800 images at more than 150 FPS.
Journal ArticleDOI
The Breakthrough Listen Search for Intelligent Life: Public Data, Formats, Reduction, and Archiving
M. Lebofsky,Steve Croft,Andrew P. V. Siemion,Danny C. Price,Danny C. Price,J. Emilio Enriquez,J. Emilio Enriquez,Howard Isaacson,Howard Isaacson,David MacMahon,Dustin Anderson,Bryan Brzycki,Jeff Cobb,Daniel Czech,David DeBoer,Julia DeMarines,Jamie Drew,Griffin Foster,Griffin Foster,Vishal Gajjar,Nectaria A. B. Gizani,Nectaria A. B. Gizani,Greg Hellbourg,Eric J. Korpela,Brian Lacki,Sofia Z. Sheikh,Dan Werthimer,Pete Worden,Alex Yu,Yunfan Gerry Zhang +29 more
TL;DR: The Breakthrough Listen Data Release 1.0 (BLDR1.0) as mentioned in this paper is the first publicly available dataset for the SETI data collection, reduction, archival, and public dissemination.
Proceedings Article
PlenOctrees for Real-Time Rendering of Neural Radiance Fields
TL;DR: In this article, an octree-based 3D representation is proposed for real-time rendering of neural radiance fields (NeRFs), which can render 800x800 images at more than 150 FPS.