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Ben Mildenhall

Ben Mildenhall

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
35
Citations
20348
World Ranking
817
National Ranking
133

Computer Science

D-Index
36
Citations
24349
World Ranking
10953
National Ranking
4553

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Ben Mildenhall is affiliated with Google in the United States and conducts research primarily within the fields of Computer Science and Engineering. Their work spans multiple subfields including Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Aerospace Engineering, and Environmental Engineering.

Their research focuses on topics such as Advanced Vision and Imaging, Computer Graphics and Visualization Techniques, 3D Shape Modeling and Analysis, Generative Adversarial Networks and Image Synthesis, Advanced Image Processing Techniques, Advanced Neural Network Applications, and Robotics and Sensor-Based Localization.

Ben Mildenhall has contributed to numerous publications, with frequent appearances in venues like arXiv (Cornell University), the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), ACM Transactions on Graphics, Computer Graphics Forum, and the 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Selected recent papers include:

  • NeRF, 2021, Communications of the ACM
  • Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains, 2020, arXiv (Cornell University)
  • Block-NeRF: Scalable Large Scene Neural View Synthesis, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis, 2020, arXiv (Cornell University)

Frequent co-authors include Jonathan T. Barron, Pratul P. Srinivasan, Peter Hedman, Dor Verbin, and Matthew Tancik.

Best Publications

  • NeRF

    Unknown

  • NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

    Ben Mildenhall;Pratul P. Srinivasan;Matthew Tancik;Jonathan T. Barron

  • Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

    Jonathan T. Barron;Ben Mildenhall;Dor Verbin;Pratul P. Srinivasan

  • Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

    Matthew Tancik;Pratul P. Srinivasan;Ben Mildenhall;Sara Fridovich-Keil

  • DreamFusion: Text-to-3D using 2D Diffusion

    Unknown

  • Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

    Matthew Tancik;Pratul P. Srinivasan;Ben Mildenhall;Sara Fridovich-Keil

  • Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields

    Jonathan T. Barron;Ben Mildenhall;Matthew Tancik;Peter Hedman

  • Local light field fusion: practical view synthesis with prescriptive sampling guidelines

    Ben Mildenhall;Pratul P. Srinivasan;Rodrigo Ortiz-Cayon;Nima Khademi Kalantari

  • Block-NeRF: Scalable Large Scene Neural View Synthesis

    Unknown

  • Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields

    Unknown

  • Zero-Shot Text-Guided Object Generation with Dream Fields

    Unknown

  • NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

    Ben Mildenhall;Pratul P. Srinivasan;Matthew Tancik;Jonathan T. Barron

  • DiffuserCam: lensless single-exposure 3D imaging

    Nick Antipa;Grace Kuo;Reinhard Heckel;Ben Mildenhall

  • NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images

    Unknown

  • RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs

    Michael Niemeyer;Jonathan T. Barron;Ben Mildenhall;Mehdi S. M. Sajjadi

  • Dense Depth Priors for Neural Radiance Fields from Sparse Input Views

    Unknown

  • Burst Denoising with Kernel Prediction Networks

    Ben Mildenhall;Jonathan T. Barron;Jiawen Chen;Dillon Sharlet

  • StegaStamp: Invisible Hyperlinks in Physical Photographs

    Matthew Tancik;Ben Mildenhall;Ren Ng

  • Unprocessing Images for Learned Raw Denoising

    Tim Brooks;Ben Mildenhall;Tianfan Xue;Jiawen Chen

  • NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis

    Pratul P. Srinivasan;Boyang Deng;Xiuming Zhang;Matthew Tancik

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

    Unknown

  • Advances in Neural Rendering

    Ayush Tewari;Justus Thies;Ben Mildenhall;Pratul Srinivasan

  • Learned Initializations for Optimizing Coordinate-Based Neural Representations

    Matthew Tancik;Ben Mildenhall;Terrance Wang;Divi Schmidt

  • MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes

    Unknown

  • Neural Reflectance Fields for Appearance Acquisition

    Sai Bi;Zexiang Xu;Pratul P. Srinivasan;Ben Mildenhall

  • Controlling procedural modeling programs with stochastically-ordered sequential Monte Carlo

    Daniel Ritchie;Ben Mildenhall;Noah D. Goodman;Pat Hanrahan

  • Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination

    Pratul P. Srinivasan;Ben Mildenhall;Matthew Tancik;Jonathan T. Barron

  • Advances in neural rendering

    A. Tewari;O. Fried;J. Thies;V. Sitzmann

  • Baking Neural Radiance Fields for Real-Time View Synthesis

    Peter Hedman;Pratul P. Srinivasan;Ben Mildenhall;Jonathan T. Barron

  • Deep Multi Depth Panoramas for View Synthesis

    Kai En Lin;Zexiang Xu;Ben Mildenhall;Pratul P. Srinivasan

  • Approximations for the distribution of microflake normals

    Nelson Max;Tom Duff;Ben Mildenhall;Yajie Yan

Frequent Co-Authors

Jonathan T. Barron
Jonathan T. Barron Google (United States)
Ravi Ramamoorthi
Ravi Ramamoorthi University of California, San Diego
Kalyan Sunkavalli
Kalyan Sunkavalli Adobe Systems (United States)
Paul Debevec
Paul Debevec Google (United States)
Noah Snavely
Noah Snavely Cornell University
Gordon Wetzstein
Gordon Wetzstein Stanford University
Christian Theobalt
Christian Theobalt Max Planck Institute for Informatics
Justus Thies
Justus Thies Technical University of Munich
Tomas Simon
Tomas Simon META Group

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