Peter Hedman

- Staff Research Scientist, Google DeepMind (London) [firstname].j.[lastname]@gmail.com Twitter Google Scholar
Peter Hedman

Hi! I'm Peter Hedman, a researcher at Google DeepMind in London.

My focus is on creating immersive 3D experiences from easy-to-capture footage of real places. For example, you may want to scan and digitally revisit your childhood home, or capture a VR-ready 3D panorama of the places you visit during a vacation.

Formally my research interests are view synthesis, image-based rendering, neural rendering and real-time graphics.

PUBLICATIONS

4-LEGS: 4D Language Embedded Gaussian Splatting
(tau-vailab.github.io/4-LEGS)
 Gal Fiebelman, Tamir Cohen, Ayellet Morgenstern, Peter Hedman, Hadar Averbuch-Elor
arXiv 2024
EVER: Exact Volumetric Ellipsoid Rendering for Real-time View Synthesis
(half-potato.gitlab.io/posts/ever)
 Alexander Mai, Peter Hedman, George Kopanas, Dor Verbin, David Futschik, Qiangeng Xu, Falko Kuester, Jonathan T. Barron, Yinda Zhang
arXiv 2024
NeRF-Casting: Improved View-Dependent Appearance with Consistent Reflections
(nerf-casting.github.io)
 Dor Verbin, Pratul Srinivasan, Peter Hedman, Ben Mildenhall, Benjamin Attal, Richard Szeliski, Jonathan T. Barron
SIGGRAPH Asia 2024
Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering
(benattal.github.io/flash-cache)
 Benjamin Attal, Dor Verbin, Ben Mildenhall, Peter Hedman, Jonathan T. Barron, Matt O'Toole, Pratul Srinivasan
ECCV 2024 (Oral)
Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-Based View Synthesis
(creiser.github.io/binary_opacity_grid)
 Christian Reiser, Stephan Garbin, Pratul Srinivasan, Dor Verbin, Richard Szeliski, Ben Mildenhall, Jonathan T. Barron, Peter Hedman*, Andreas Geiger*
SIGGRAPH 2024
SMERF: Streamable Memory Efficient Radiance Fields for Real-Time Large-Scene Exploration
(smerf-3d.github.io)
 Daniel Duckworth*, Peter Hedman*, Christian Reiser, Peter Zhizhin, Jean-François Thibert, Mario Lučić, Richard Szeliski, Jonathan T. Barron
SIGGRAPH 2024 (Honorable Mention)
InterNeRF: Scaling Radiance Fields via Parameter Interpolation
(arxiv.org/abs/2406.11737)
 Clinton Wang, Peter Hedman, Polina Golland, Jonathan T. Barron, Daniel Duckworth
CVPR Neural Rendering Intelligence 2024
Eclipse: Disambiguating Illumination and Materials using Unintended Shadows
(dorverbin.github.io/eclipse)
 Dor Verbin, Ben Mildenhall, Peter Hedman, Jonathan T. Barron, Todd Zickler, Pratul Srinivasan
CVPR 2024 (Oral)
Inpaint3D: 3D Scene Content Generation using 2D Inpainting Diffusion
(inpaint3d.github.io)
 Kira Prabhu*, Jane Wu*, Lynn Tsai*, Peter Hedman, Dan B Goldman, Ben Poole, Michael Broxton
arXiv 2023
Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields
(jonbarron.info/zipnerf)
 Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul Srinivasan, Peter Hedman
ICCV 2023 (Oral, Best Paper Finalist)
Vox-E: Text-guided Voxel Editing of 3D Objects
(tau-vailab.github.io/Vox-E)
 Etai Sella, Gal Fiebelman, Peter Hedman, Hadar Averbuch-Elor
ICCV 2023
MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes
(creiser.github.io/merf)
 Christian Reiser, Richard Szeliski, Dor Verbin, Pratul Srinivasan, Ben Mildenhall, Andreas Geiger, Jonathan T. Barron, Peter Hedman
SIGGRAPH 2023
BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis
(bakedsdf.github.io)
 Lior Yariv*, Peter Hedman*, Christian Reiser, Dor Verbin, Pratul Srinivasan, Richard Szeliski, Jonathan T. Barron, Ben Mildenhall
SIGGRAPH 2023
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures
(mobile-nerf.github.io)
 Zhiqin Chen, Thomas Funkhouser, Peter Hedman, Andrea Tagliasacchi
CVPR 2023 (Best Paper Award Candidate)
AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training
(yifanjiang19.github.io/alignerf)
 Yifan Jiang, Peter Hedman, Ben Mildenhall, Dejia Xu, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue
CVPR 2023
NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images
(bmild.github.io/rawnerf)
 Ben Mildenhall, Peter Hedman, Ricardo Martin-Brualla, Pratul Srinivasan, Jonathan T. Barron
CVPR 2022 (Oral)
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
(jonbarron.info/mipnerf360)
 Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan and Peter Hedman
CVPR 2022 (Oral)
Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields
(dorverbin.github.io/refnerf)
 Dor Verbin, Peter Hedman, Ben Mildenhall, Todd Zickler, Jonathan T. Barron and Pratul P. Srinivasan
CVPR 2022 (Oral, Best Student Paper Honorable Mention), TPAMI 2024
HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields
(hypernerf.github.io)
 Keunhong Park, Utkarsh Sinha, Peter Hedman, Jonathan T. Barron, Sofien Bouaziz, Dan B. Goldman, Ricardo Martin-Brualla and Steven M. Seitz
SIGGRAPH Asia 2021
Baking Neural Radiance Fields for Real-Time View Synthesis
(nerf.live)
 Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall, Jonathan T. Barron and Paul Debevec
ICCV 2021 (Oral), TPAMI 2024
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
(jonbarron.info/mipnerf)
 Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla and Pratul P. Srinivasan
ICCV 2021 (Oral, Best Paper Honorable Mention)
Immersive Light Field Video with a Layered Mesh Representation
(augmentedperception.github.io/deepviewvideo)
 Michael Broxton, John Flynn, Ryan Overbeck, Daniel Erickson, Peter Hedman, Matthew DuVall, Jason Dourgarian, Jay Busch, Matt Whalen and Paul Debevec
SIGGRAPH 2020
Image-Based Rendering of Cars using Semantic Labels and Approximate Reflection Flow
(repo-sam.inria.fr/fungraph/ibr-cars-semantic)
 Simon Rodriguez, Siddhant Prakash, Peter Hedman and George Drettakis
i3D 2020
Deep Blending for Free-Viewpoint Image-Based Rendering
(visual.cs.ucl.ac.uk/pubs/deepblending)
 Peter Hedman, Julien Philip, True Price, Jan-Michael Frahm, George Drettakis and Gabriel Brostow
SIGGRAPH Asia 2018
Instant 3D Photography
(visual.cs.ucl.ac.uk/pubs/instant3d)
 Peter Hedman and Johannes Kopf
SIGGRAPH 2018
Casual 3D Photography
(visual.cs.ucl.ac.uk/pubs/casual3d)
 Peter Hedman, Suhib Alsisan, Richard Szeliski and Johannes Kopf
SIGGRAPH Asia 2017
Scalable Inside-Out Image-Based Rendering
(visual.cs.ucl.ac.uk/pubs/insideout)
 Peter Hedman, Tobias Ritschel, George Drettakis and Gabriel Brostow
SIGGRAPH Asia 2016
Sequential Monte Carlo Instant Radiosity
(visual.cs.ucl.ac.uk/pubs/smcir)
 Peter Hedman, Tero Karras and Jaakko Lehtinen
i3D 2016, TVCG 2017
Multi-view Reconstruction of Highly Specular Surfaces in Uncontrolled Environments
(visual.cs.ucl.ac.uk/pubs/shapefromreflections)
 Clément Godard*, Peter Hedman*, Wenbin Li and Gabriel J. Brostow
3DV 2015 (Oral) *Joint first authors.

AWARDS, TALKS AND PUBLICITY

July 2024 SIGGRAPH Honorable Mention Award for SMERF.
June 2024 CVPR XRNeRF workshop talk: "Transcoding for Fast View Synthesis".
May 2023 i3D keynote talk: "Scaling NeRF Up and Down".
June 2022 CVPR Best Student Paper Honorable Mention Award for Ref-NeRF.
May 2022 Our work on NeRF flythroughs for Google Maps presented by Alphabet CEO Sundar Pichai at Google I/O (8:48).
Oct 2021 ICCV Best Paper Honorable Mention Award for Mip-NeRF.
Aug 2020 SIGGRAPH Immersive Pavilion BEST IN SHOW Award for Immersive Light Field Video with a Layered Mesh Representation.
Aug 2019 SIGGRAPH Course (Capture4VR) talk: 3D Photography.
Jun 2018 Instant 3D Photography highlighted at the Facebook F8 Conference keynote (1:08:45).
Apr 2017 Casual 3D Photography presented by Facebook CEO Mark Zuckerberg at F8 (11:45).
Nov 2016 The Finnish Academic Association for Mathematics and Natural Sciences (MAL) prize for the most distinguished Master's thesis.
Apr 2016 Rabin Ezra Scholarship for doctoral students in computer graphics, imaging and vision.

ACADEMIC SERVICE

Area Chair / Papers Committee CVPR (2024), SIGGRAPH (2023, 2022, session chair), EGSR (2022, 2021, session chair), HPG (2024, 2021)
Reviewer SIGGRAPH, SIGGRAPH Asia, CVPR, ECCV, ICCV, TOG, TVCG, 3DV, Computers & Graphics, Eurographics, Pacific Graphics
Teaching Assistant Computer Graphics at University College London (2014, 2015, 2017).

JOBS

Nov 2024 Google DeepMind, Staff Research Scientist, London U.K.
Working on Fast View Synthesis.
May 2022 - Nov 2024 Google, Senior Research Scientist, London U.K.
Worked on Fast and Large-Scale Neural Radiance Fields.
Nov 2020 - May 2022 Google, Research Scientist, London U.K.
Worked on Fast or Large-Scale Neural Radiance Fields.
Nov 2019 - Nov 2020 Google, Research Scientist, Los Angeles USA.
Worked on Immersive Light Field Video with a Layered Mesh Representation (SIGGRAPH 2020).
Jun 2017 - Aug 2018 Pro Unlimited, Contingent worker @ Facebook (Computational photography group), London U.K.
Developed Instant 3D Photography (SIGGRAPH 2018).
Jun 2016 - Jun 2017 Facebook, PhD research intern (Computational photography group), Seattle USA.
Developed Casual 3D Photography (SIGGRAPH Asia 2017).
Dec 2013 - May 2014 NVIDIA, research intern (NVIDIA research), Helsinki Finland.
Developed Sequential Monte Carlo Instant Radiosity (I3D 2016, TVCG 2017).
Jan 2012 - Nov 2013 NVIDIA, Systems software engineer (mobile browser team), Helsinki Finland.
Worked with a heavily threaded C++, HTML5 Canvas, WebGL, WebKit, Skia and OpenGL ES2.
May 2011 - Jan 2012 NVIDIA, software engineering intern (Flash3D team), Helsinki Finland.
Optimized Flash3D for NVIDIA Tegra.

EDUCATION

Aug 2014 - Jul 2019 PhD in Computer Science (University College London)
Viewpoint-Free Photography for Virtual Reality (discovery.ucl.ac.uk/id/eprint/10078087)
Supervisors: Gabriel Brostow and Tobias Ritschel.
Jan 2012 - Jun 2015 Master's degree in Computer Science (University of Helsinki)
Sequential Monte Carlo Instant Radiosity (helda.helsinki.fi/handle/10138/156669).
Sep 2009 - Jan 2012 Bachelors degree in Computer Science (University of Helsinki)
Triangle based and voxel based rendering in real-time graphics (phogzone.com/bscthesis.pdf - in Swedish).