Jon Barron researches computer vision and machine learning as a Principal Research Scientist at Google DeepMind, where he leads a team working on neural radiance fields. His work spans image generation, 3D reconstruction and computational photography.

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Jon Barron researches computer vision and machine learning as a Principal Research Scientist at Google DeepMind, where he leads a team working on neural radiance fields. His work spans image generation, 3D reconstruction and computational photography.

Career

Principal Research Scientist at Google DeepMind from 2025 to Present
Intelligent Robotics Group Intern at NASA Ames Research Center from 2009 to 2009
Junior Research Scientist at New York University from 2007 to 2008
Computational Biology Intern at Novartis Institutes for Biomedical Research from 2007 to 2007
Multisensor Exploitation Team Intern at BAE Systems from 2006 to 2006
jonbarron.info

Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields

Jonathan T. Barron and coauthors present a method combining grid-based neural rendering with antialiasing to improve reconstruction quality and training speed.

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haian-jin.github.io

ZipMap: stateful 3D reconstruction

Jon Barron and coauthors present a method that compresses image collections into a scene state for linear-time 3D reconstruction and queries about new viewpoints.

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