Ben Mildenhall

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 71

Top Topics

Diffusion Models

Top Venues

ACM Trans. Graph.

Publications

Christian Reiser, Stephan J. Garbin, Pratul P. Srinivasan, Dor Verbin, Richard Szeliski, Ben Mildenhall, Jonathan T. Barron, Peter Hedman, Andreas Geiger
Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-Based View Synthesis. CoRR (2024)
Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit Bermano, Eric R. Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein
State of the Art on Diffusion Models for Visual Computing. Comput. Graph. Forum 43 (2) (2024)
Dave Epstein, Ben Poole, Ben Mildenhall, Alexei A. Efros, Aleksander Holynski
Disentangled 3D Scene Generation with Layout Learning. CoRR (2024)
Dor Verbin, Pratul P. Srinivasan, Peter Hedman, Ben Mildenhall, Benjamin Attal, Richard Szeliski, Jonathan T. Barron
NeRF-Casting: Improved View-Dependent Appearance with Consistent Reflections. CoRR (2024)
Quankai Gao, Qiangeng Xu, Zhe Cao, Ben Mildenhall, Wenchao Ma, Le Chen, Danhang Tang, Ulrich Neumann
GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation. CoRR (2024)
Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, Peter Hedman
Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields. CoRR (2023)
Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall
DreamFusion: Text-to-3D using 2D Diffusion. ICLR (2023)
Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, Peter Hedman
Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields. ICCV (2023)
Keunhong Park, Philipp Henzler, Ben Mildenhall, Jonathan T. Barron, Ricardo Martin-Brualla
CamP: Camera Preconditioning for Neural Radiance Fields. CoRR (2023)
Rundi Wu, Ben Mildenhall, Philipp Henzler, Keunhong Park, Ruiqi Gao, Daniel Watson, Pratul P. Srinivasan, Dor Verbin, Jonathan T. Barron, Ben Poole, Aleksander Holynski
ReconFusion: 3D Reconstruction with Diffusion Priors. CoRR (2023)
Xiaojuan Wang, Janne Kontkanen, Brian Curless, Steven M. Seitz, Ira Kemelmacher, Ben Mildenhall, Pratul P. Srinivasan, Dor Verbin, Aleksander Holynski
Generative Powers of Ten. CoRR (2023)
Keunhong Park, Philipp Henzler, Ben Mildenhall, Jonathan T. Barron, Ricardo Martin-Brualla
CamP: Camera Preconditioning for Neural Radiance Fields. ACM Trans. Graph. 42 (6) (2023)
Dor Verbin, Ben Mildenhall, Peter Hedman, Jonathan T. Barron, Todd E. Zickler, Pratul P. Srinivasan
Eclipse: Disambiguating Illumination and Materials using Unintended Shadows. CoRR (2023)
Christian Reiser, Richard Szeliski, Dor Verbin, Pratul P. Srinivasan, Ben Mildenhall, Andreas Geiger, Jonathan T. Barron, Peter Hedman
MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes. CoRR (2023)
Yifan Jiang, Peter Hedman, Ben Mildenhall, Dejia Xu, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue
AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training. CVPR (2023)
Christian Reiser, Richard Szeliski, Dor Verbin, Pratul P. Srinivasan, Ben Mildenhall, Andreas Geiger, Jonathan T. Barron, Peter Hedman
MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes. ACM Trans. Graph. 42 (4) (2023)
Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan T. Barron, Yuanzhen Li, Varun Jampani
DreamBooth3D: Subject-Driven Text-to-3D Generation. ICCV (2023)
Pratul P. Srinivasan, Stephan J. Garbin, Dor Verbin, Jonathan T. Barron, Ben Mildenhall
Nuvo: Neural UV Mapping for Unruly 3D Representations. CoRR (2023)
Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit H. Bermano, Eric Ryan Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein
State of the Art on Diffusion Models for Visual Computing. CoRR (2023)
Lior Yariv, Peter Hedman, Christian Reiser, Dor Verbin, Pratul P. Srinivasan, Richard Szeliski, Jonathan T. Barron, Ben Mildenhall
BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis. CoRR (2023)
Lior Yariv, Peter Hedman, Christian Reiser, Dor Verbin, Pratul P. Srinivasan, Richard Szeliski, Jonathan T. Barron, Ben Mildenhall
BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis. SIGGRAPH (Conference Paper Track) (2023)
Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan T. Barron, Yuanzhen Li, Varun Jampani
DreamBooth3D: Subject-Driven Text-to-3D Generation. CoRR (2023)
Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul P. Srinivasan, Edgar Tretschk, Yifan Wang, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Nießner, Jonathan T. Barron, Gordon Wetzstein, Michael Zollhöfer, Vladislav Golyanik
Advances in Neural Rendering. Comput. Graph. Forum 41 (2) (2022)
Andrea Tagliasacchi, Ben Mildenhall
Volume Rendering Digest (for NeRF). CoRR (2022)
Yifan Jiang, Peter Hedman, Ben Mildenhall, Dejia Xu, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue
AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training. CoRR (2022)
Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, Peter Hedman
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields. CVPR (2022)
Dor Verbin, Peter Hedman, Ben Mildenhall, Todd E. Zickler, Jonathan T. Barron, Pratul P. Srinivasan
Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields. CVPR (2022)
Ben Mildenhall, Peter Hedman, Ricardo Martin-Brualla, Pratul P. Srinivasan, Jonathan T. Barron
NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images. CVPR (2022)
Yifan Jiang, Bart Wronski, Ben Mildenhall, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue
Fast and High-Quality Image Denoising via Malleable Convolutions. CoRR (2022)
Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall
DreamFusion: Text-to-3D using 2D Diffusion. CoRR (2022)
Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, Ben Poole
Zero-Shot Text-Guided Object Generation with Dream Fields. CVPR (2022)
Barbara Roessle, Jonathan T. Barron, Ben Mildenhall, Pratul P. Srinivasan, Matthias Nießner
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views. CVPR (2022)
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, Henrik Kretzschmar
Block-NeRF: Scalable Large Scene Neural View Synthesis. CoRR (2022)
Yifan Jiang, Bartlomiej Wronski, Ben Mildenhall, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue
Fast and High Quality Image Denoising via Malleable Convolution. ECCV (18) (2022)
Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, Noha Radwan
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs. CVPR (2022)
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng
NeRF: representing scenes as neural radiance fields for view synthesis. Commun. ACM 65 (1) (2022)
Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, Ben Poole
Zero-Shot Text-Guided Object Generation with Dream Fields. CoRR (2021)
Barbara Roessle, Jonathan T. Barron, Ben Mildenhall, Pratul P. Srinivasan, Matthias Nießner
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views. CoRR (2021)
Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Zexiang Xu, Tomas Simon, Matthias Nießner, Edgar Tretschk, Lingjie Liu, Ben Mildenhall, Pratul P. Srinivasan, Rohit Pandey, Sergio Orts-Escolano, Sean Ryan Fanello, Michelle Guo, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Daniel B. Goldman, Michael Zollhöfer
Advances in neural rendering. SIGGRAPH Courses (2021)
Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul P. Srinivasan, Edgar Tretschk, Yifan Wang, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Nießner, Jonathan T. Barron, Gordon Wetzstein, Michael Zollhöfer, Vladislav Golyanik
Advances in Neural Rendering. CoRR (2021)
Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, Pratul P. Srinivasan
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields. ICCV (2021)
Pratul P. Srinivasan, Boyang Deng, Xiuming Zhang, Matthew Tancik, Ben Mildenhall, Jonathan T. Barron
NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis. CVPR (2021)
Dor Verbin, Peter Hedman, Ben Mildenhall, Todd E. Zickler, Jonathan T. Barron, Pratul P. Srinivasan
Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields. CoRR (2021)
Matthew Tancik, Ben Mildenhall, Terrance Wang, Divi Schmidt, Pratul P. Srinivasan, Jonathan T. Barron, Ren Ng
Learned Initializations for Optimizing Coordinate-Based Neural Representations. CVPR (2021)
Ben Mildenhall, Peter Hedman, Ricardo Martin-Brualla, Pratul P. Srinivasan, Jonathan T. Barron
NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images. CoRR (2021)
Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall, Jonathan T. Barron, Paul E. Debevec
Baking Neural Radiance Fields for Real-Time View Synthesis. ICCV (2021)
Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, Peter Hedman
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields. CoRR (2021)
Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, Pratul P. Srinivasan
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields. CoRR (2021)
Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, Noha Radwan
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs. CoRR (2021)
Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall, Jonathan T. Barron, Paul E. Debevec
Baking Neural Radiance Fields for Real-Time View Synthesis. CoRR (2021)
Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, Ren Ng
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains. NeurIPS (2020)
Pratul P. Srinivasan, Boyang Deng, Xiuming Zhang, Matthew Tancik, Ben Mildenhall, Jonathan T. Barron
NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis. CoRR (2020)
Kai-En Lin, Zexiang Xu, Ben Mildenhall, Pratul P. Srinivasan, Yannick Hold-Geoffroy, Stephen DiVerdi, Qi Sun, Kalyan Sunkavalli, Ravi Ramamoorthi
Deep Multi Depth Panoramas for View Synthesis. CoRR (2020)
Matthew Tancik, Ben Mildenhall, Terrance Wang, Divi Schmidt, Pratul P. Srinivasan, Jonathan T. Barron, Ren Ng
Learned Initializations for Optimizing Coordinate-Based Neural Representations. CoRR (2020)
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. CoRR (2020)
Sai Bi, Zexiang Xu, Pratul P. Srinivasan, Ben Mildenhall, Kalyan Sunkavalli, Milos Hasan, Yannick Hold-Geoffroy, David J. Kriegman, Ravi Ramamoorthi
Neural Reflectance Fields for Appearance Acquisition. CoRR (2020)
Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, Ren Ng
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains. CoRR (2020)
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. ECCV (1) (2020)
Matthew Tancik, Ben Mildenhall, Ren Ng
StegaStamp: Invisible Hyperlinks in Physical Photographs. CVPR (2020)
Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination. CoRR (2020)
Kai-En Lin, Zexiang Xu, Ben Mildenhall, Pratul P. Srinivasan, Yannick Hold-Geoffroy, Stephen DiVerdi, Qi Sun, Kalyan Sunkavalli, Ravi Ramamoorthi
Deep Multi Depth Panoramas for View Synthesis. ECCV (13) (2020)
Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination. CVPR (2020)
Matthew Tancik, Ben Mildenhall, Ren Ng
StegaStamp: Invisible Hyperlinks in Physical Photographs. CoRR (2019)
Ben Mildenhall, Pratul P. Srinivasan, Rodrigo Ortiz Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, Abhishek Kar
Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines. CoRR (2019)
Ben Mildenhall, Pratul P. Srinivasan, Rodrigo Ortiz Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, Abhishek Kar
Local light field fusion: practical view synthesis with prescriptive sampling guidelines. ACM Trans. Graph. 38 (4) (2019)
Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron
Unprocessing Images for Learned Raw Denoising. CVPR (2019)
Ben Mildenhall, Jonathan T. Barron, Jiawen Chen, Dillon Sharlet, Ren Ng, Robert Carroll
Burst Denoising With Kernel Prediction Networks. CVPR (2018)
Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron
Unprocessing Images for Learned Raw Denoising. CoRR (2018)
Nelson Max, Tom Duff, Ben Mildenhall, Yajie Yan
Approximations for the distribution of microflake normals. Vis. Comput. 34 (3) (2018)
Nick Antipa, Grace Kuo, Reinhard Heckel, Ben Mildenhall, Emrah Bostan, Ren Ng, Laura Waller
DiffuserCam: Lensless Single-exposure 3D Imaging. CoRR (2017)
Ben Mildenhall, Jonathan T. Barron, Jiawen Chen, Dillon Sharlet, Ren Ng, Robert Carroll
Burst Denoising with Kernel Prediction Networks. CoRR (2017)
Daniel Ritchie, Ben Mildenhall, Noah D. Goodman, Pat Hanrahan
Controlling procedural modeling programs with stochastically-ordered sequential Monte Carlo. ACM Trans. Graph. 34 (4) (2015)