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About me
I am a staff research scientist and leader of a research team in Project Starline at Google Labs. My expertise is in machine learning, optics, light field imaging, computer vision, remote sensing, and robotics.
Previously, I was a PhD student in the Stanford Computer Graphics Laboratory where I completed my CS Ph.D. under Marc Levoy where I developed light field microscope imaging technology for neuroscience applications. I also briefly held a post-doctoral research position in Gordon Wetzstein's Computational Imaging Lab at Stanford. I received my M.Eng and undergraduate degree in 2005 at MIT in EECS, working at the MIT Media Lab with Joe Paradiso. I have also worked at NASA Ames Research Center in the Intelligest Robotics Group from 2005-2011 and at Los Alamos National Laboratory during early years of undergraduate study.
Papers
| Quark: Real-time, High-resolution, and General Neural View Synthesis John Flynn*, Michael Broxton*, Lukas Murmann*, Lucy Chai, Matthew DuVall, Clément Godard, Kathryn Heal, Srinivas Kaza, Stephen Lombardi, Xuan Luo, Supreeth Achar, Kira Prabhu, Tiancheng Sun, Lynn Tsai, and Ryan Overbeck SIGGRAPH Asia 2024 (Journal Paper). [Paper][Website] | |
| Inpaint3D: 3D Scene Content Generation using 2D Inpainting Diffusion Kira Prabhu, Jane Wu, Lynn Tsai, Peter Hedman, Dan B Goldman, Ben Poole, Michael Broxton ArXiv. [Paper][Website] | |
| Immersive Light Field Video with a Layered Mesh Representation Michael Broxton*, John Flynn*, Ryan Overbeck*, Daniel Erickson*, Peter Hedman, Matthew DuVall, Jason Dourgarian, Jay Busch, Matt Whalen, Paul Debevec SIGGRAPH 2020 (Conference Paper). [Paper][Website] | |
| DeepView: View Synthesis with Learned Gradient Descent John Flynn, Michael Broxton, Paul Debevec, Matthew DuVall, Graham Fyffe, Ryan Overbeck, Noah Snavely, Richard Tucker CVPR 2018 (Conference Paper). [Paper][Website] |
