Ben Mildenhall

According to our database, Ben Mildenhall authored at least 44 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation.

Quankai Gao, Qiangeng Xu, Zhe Cao, Ben Mildenhall, Wenchao Ma, Le Chen, Danhang Tang, Ulrich Neumann

CoRR, 2024

Disentangled 3D Scene Generation with Layout Learning.

Dave Epstein, Ben Poole, Ben Mildenhall, Alexei A. Efros, Aleksander Holynski

CoRR, 2024

Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-Based View Synthesis.

Christian Reiser, Stephan J. Garbin, Pratul P. Srinivasan, Dor Verbin, Richard Szeliski, Ben Mildenhall, Jonathan T. Barron, Peter Hedman, Andreas Geiger

CoRR, 2024

2023

CamP: Camera Preconditioning for Neural Radiance Fields.

Keunhong Park, Philipp Henzler, Ben Mildenhall, Jonathan T. Barron, Ricardo Martin-Brualla

ACM Trans. Graph., December, 2023

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

Christian Reiser, Richard Szeliski, Dor Verbin, Pratul P. Srinivasan, Ben Mildenhall, Andreas Geiger, Jonathan T. Barron, Peter Hedman

ACM Trans. Graph., August, 2023

Nuvo: Neural UV Mapping for Unruly 3D Representations.

Pratul P. Srinivasan, Stephan J. Garbin, Dor Verbin, Jonathan T. Barron, Ben Mildenhall

CoRR, 2023

ReconFusion: 3D Reconstruction with Diffusion Priors.

Rundi Wu, Ben Mildenhall, Philipp Henzler, Keunhong Park, Ruiqi Gao, Daniel Watson, Pratul P. Srinivasan, Dor Verbin, Jonathan T. Barron, Ben Poole, Aleksander Holynski

CoRR, 2023

Generative Powers of Ten.

Xiaojuan Wang, Janne Kontkanen, Brian Curless, Steven M. Seitz, Ira Kemelmacher, Ben Mildenhall, Pratul P. Srinivasan, Dor Verbin, Aleksander Holynski

CoRR, 2023

State of the Art on Diffusion Models for Visual Computing.

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

CoRR, 2023

Eclipse: Disambiguating Illumination and Materials using Unintended Shadows.

Dor Verbin, Ben Mildenhall, Peter Hedman, Jonathan T. Barron, Todd E. Zickler, Pratul P. Srinivasan

CoRR, 2023

BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis.

Lior Yariv, Peter Hedman, Christian Reiser, Dor Verbin, Pratul P. Srinivasan, Richard Szeliski, Jonathan T. Barron, Ben Mildenhall

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

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

Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DreamBooth3D: Subject-Driven Text-to-3D Generation.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, Peter Hedman

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training.

Yifan Jiang, Peter Hedman, Ben Mildenhall, Dejia Xu, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Volume Rendering Digest (for NeRF).

Andrea Tagliasacchi, Ben Mildenhall

CoRR, 2022

Fast and High-Quality Image Denoising via Malleable Convolutions.

Yifan Jiang, Bart Wronski, Ben Mildenhall, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue

CoRR, 2022

Advances in Neural Rendering.

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

Comput. Graph. Forum, 2022

NeRF: representing scenes as neural radiance fields for view synthesis.

Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng

Commun. ACM, 2022

Fast and High Quality Image Denoising via Malleable Convolution.

Yifan Jiang, Bartlomiej Wronski, Ben Mildenhall, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Dor Verbin, Peter Hedman, Ben Mildenhall, Todd E. Zickler, Jonathan T. Barron, Pratul P. Srinivasan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Block-NeRF: Scalable Large Scene Neural View Synthesis.

Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben P. Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, Henrik Kretzschmar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Barbara Roessle, Jonathan T. Barron, Ben Mildenhall, Pratul P. Srinivasan, Matthias Nießner

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Ben Mildenhall, Peter Hedman, Ricardo Martin-Brualla, Pratul P. Srinivasan, Jonathan T. Barron

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, Ben Poole

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, Peter Hedman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Advances in neural rendering.

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

Proceedings of the SIGGRAPH 2021: Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2021

Baking Neural Radiance Fields for Real-Time View Synthesis.

Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall, Jonathan T. Barron, Paul E. Debevec

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, Pratul P. Srinivasan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learned Initializations for Optimizing Coordinate-Based Neural Representations.

Matthew Tancik, Ben Mildenhall, Terrance Wang, Divi Schmidt, Pratul P. Srinivasan, Jonathan T. Barron, Ren Ng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Pratul P. Srinivasan, Boyang Deng, Xiuming Zhang, Matthew Tancik, Ben Mildenhall, Jonathan T. Barron

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Neural Scene Representations for View Synthesis.

Ben Mildenhall

PhD thesis, 2020

Neural Reflectance Fields for Appearance Acquisition.

Sai Bi, Zexiang Xu, Pratul P. Srinivasan, Ben Mildenhall, Kalyan Sunkavalli, Milos Hasan, Yannick Hold-Geoffroy, David J. Kriegman, Ravi Ramamoorthi

CoRR, 2020

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

Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, Ren Ng

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Proceedings of the Computer Vision - ECCV 2020, 2020

StegaStamp: Invisible Hyperlinks in Physical Photographs.

Matthew Tancik, Ben Mildenhall, Ren Ng

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination.

Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

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

Ben Mildenhall, Pratul P. Srinivasan, Rodrigo Ortiz Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, Abhishek Kar

ACM Trans. Graph., 2019

Unprocessing Images for Learned Raw Denoising.

Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Approximations for the distribution of microflake normals.

Nelson Max, Tom Duff, Ben Mildenhall, Yajie Yan

Vis. Comput., 2018

Burst Denoising With Kernel Prediction Networks.

Ben Mildenhall, Jonathan T. Barron, Jiawen Chen, Dillon Sharlet, Ren Ng, Robert Carroll

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

DiffuserCam: Lensless Single-exposure 3D Imaging.

Nick Antipa, Grace Kuo, Reinhard Heckel, Ben Mildenhall, Emrah Bostan, Ren Ng, Laura Waller

CoRR, 2017

2015

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

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

ACM Trans. Graph., 2015