Ben Mildenhall
ContactInformation

55 Spear St
San Francisco, CA 94105

Education

University of California, Berkeley+1 510 545 3248
me@bmild.com
bmild.github.io
2015-2020

Ph.D. in Computer Science
Advised by Prof. Ren Ng
Stanford University

2011-2015

B.S. in Computer Science (Honors) and Mathematics
Experience

Google, Research Scientist

January 2021-

Working in David Salesin’s group.
Fyusion Inc., Research Intern

Summer 2018

Worked with Rodrigo Ortiz-Cayon and Abhishek Kar on deep learning for view synthesis.
Google, Research Intern

Summer 2017

Worked in Marc Levoy’s group with Robert Carroll, Jiawen Chen, Dillon Sharlet, and Jon Barron
on deep learning for multi-image denoising and demosaicking.
Pixar Animation Studios, Research Intern

Summer 2014

Worked with Tom Duff, Nelson Max, and Mark Meyer on using sparse voxel octrees for geometrysimplification when rendering complex scenes.
Stanford University, Undergraduate Research Intern (CURIS program)

Summer 2013

Worked in Pat Hanrahan’s group with graduate students Daniel Ritchie and Matt Fisher on using
probabilistic inference for reinforcement learning.
Publications /Preprints

DreamFusion: Text-to-3D using 2D Diffusion
Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall
ICLR, 2023 (Outstanding Paper Award)
Fast and High-quality Image Denoising via Malleable Convolutions
Yifan Jiang, Bartlomiej Wronski, Ben Mildenhall, Jonathan T. Barron, Zhangyang Wang, Tianfan
Xue
ECCV, 2022
NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images
Ben Mildenhall, Peter Hedman, Ricardo Martin-Brualla, Pratul Srinivasan, Jonathan Barron
CVPR, 2022 (oral)
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul Srinivasan, Peter Hedman
CVPR, 2022 (oral)
Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields
Dor Verbin, Peter Hedman, Ben Mildenhall, Todd Zickler, Jonathan T. Barron, Pratul Srinivasan
CVPR, 2022 (Best Student Paper Honorable Mention)
Block-NeRF: Scalable Large Scene Neural View Synthesis
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul Srinivasan, Jonathan T. Barron, Henrik Kretzschmar
CVPR, 2022 (oral)

RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs
Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger,
Noha Radwan
CVPR, 2022 (oral)
Zero-Shot Text-Guided Object Generation with Dream Fields
Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, Ben Poole
CVPR, 2022
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views
Barbara Roessle, Jonathan T. Barron, Ben Mildenhall, Pratul Srinivasan, Matthias Niessner
CVPR, 2022
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla,
Pratul Srinivasan
ICCV, 2021 (Best Paper Honorable Mention)
Baking Neural Radiance Fields for Real-Time View SynthesisPeter Hedman, Pratul Srinivasan, Ben Mildenhall, Jonathan T. Barron, Paul Debevec
ICCV, 2021 (oral)
Learned Initializations for Optimizing Coordinate-Based Neural Representations
Matthew Tancik*, Ben Mildenhall*, Terrance Wang, Divi Schmidt, Pratul Srinivasan, Jonathan
T. Barron, Ren Ng
CVPR, 2021 (oral)
NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis
Pratul Srinivasan, Boyang Deng, Xiuming Zhang, Matthew Tancik, Ben Mildenhall, Jonathan T.
BarronCVPR, 2021
Neural Reflectance Fields for Appearance Acquisition
Sai Bi*, Zexiang Xu*, Pratul Srinivasan, Ben Mildenhall, Kalyan Sunkavalli, Milos̆ Has̆an, Yannick
Hold-Geoffroy, David Kriegman, Ravi Ramamoorthi
arXiv, 2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional
Domains
Matthew Tancik*, Pratul Srinivasan*, Ben Mildenhall*, Sara Fridovich-Keil, Nithin Raghavan,Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, Ren NgNeurIPS, 2020 (spotlight)
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
Ben Mildenhall*, Pratul Srinivasan*, Matthew Tancik*, Jonathan T. Barron, Ravi Ramamoorthi,Ren Ng
ECCV, 2020 (Best Paper Honorable Mention)
Deep Multi Depth Panoramas for View Synthesis
Kai-En Lin, Zexiang Xu, Ben Mildenhall, Pratul P. Srinivasan, Yannick Hold-Geoffroy, Stephen
DiVerdi, Qi Sun, Kalyan Sunkavalli, Ravi Ramamoorthi
ECCV, 2020
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination
Pratul Srinivasan*, Ben Mildenhall*, Matthew Tancik, Jonathan T. Barron, Richard Tucker,
Noah Snavely
CVPR, 2020
StegaStamp: Invisible Hyperlinks in Physical Photographs
Matthew Tancik*, Ben Mildenhall*, Ren Ng

CVPR, 2020
Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines
Ben Mildenhall*, Pratul Srinivasan*, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, Abhishek Kar
SIGGRAPH, 2019
Unprocessing Images for Learned Raw Denoising
Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron
CVPR, 2019 (oral)
Burst Denoising with Kernel Prediction Networks
Ben Mildenhall, Jonathan T. Barron, Jiawen Chen, Dillon Sharlet, Ren Ng, Robert Carroll
CVPR, 2018 (spotlight)
DiffuserCam: Lensless Single-exposure 3D Imaging
Nick Antipa, Grace Kuo, Reinhard Heckel, Ben Mildenhall, Emrah Bostan, Ren Ng, Laura Waller
Optica, 2017
Approximations for the Distribution of Microflake Normals
Nelson Max, Tom Duff, Ben Mildenhall, Yajie Yan
The Visual Computer, 2017
Controlling Procedural Modeling Programs with Stochastically-Ordered Sequential
Monte Carlo
Daniel Ritchie, Ben Mildenhall, Noah D. Goodman, Pat Hanrahan
SIGGRAPH, 2015
ServiceArea Chair for CVPR 2023
Outstanding reviewer award for ECCV 2022
Reviewer for CVPR, ICCV, ECCV, SIGGRAPH, SIGGRAPH Asia, NeurIPS
Co-instructor, CS184 (Computer Graphics)
Graduate Student Instructor, CS184
Graduate Student Instructor, CS184

Honors andAwards

ICLR Outstanding Paper Award
CVPR Best Student Paper Honorable Mention
ACM Doctoral Dissertation Award Honorable Mention
ICCV Best Paper Honorable Mention
David J. Sakrison Memorial Prize
Outstanding Graduate Student Instructor Award
ECCV Best Paper Honorable Mention
ICCP Best DemoTong Leong Lim Pre-Doctoral Prize, UC Berkeley
Fannie and John Hertz Foundation Graduate Fellowship
Terman Award, Stanford University
Sterling Award, Stanford University
CS348B rendering competition Grand Prize, Stanford University

SkillsPython/NumPy, JAX, Tensorflow, C/C++, OpenGL, CUDA, Matlab

Summer 2020
Spring 2017
Spring 2016
2023
2022
2021
2021
2021
20212020
20172017
201520152015
2013