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Ben Mildenhall
Ben P. Mildenhall
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2020 – today
- 2024
- [j9]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): i-iii (2024) - [j8]Christian Reiser
Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-Based View Synthesis. ACM Trans. Graph. 43(4): 149:1-149:14 (2024) - [c32]Dor Verbin, Ben Mildenhall, Peter Hedman, Jonathan T. Barron, Todd E. Zickler, Pratul P. Srinivasan:
Eclipse: Disambiguating Illumination and Materials Using Unintended Shadows. CVPR 2024: 77-86 - [c31]Xiaojuan Wang, Janne Kontkanen, Brian Curless, Steven M. Seitz, Ira Kemelmacher-Shlizerman, Ben Mildenhall, Pratul P. Srinivasan, Dor Verbin, Aleksander Holynski:
Generative Powers of Ten. CVPR 2024: 7173-7182 - [c30]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. CVPR 2024: 21551-21561 - [c29]Pratul P. Srinivasan, Stephan J. Garbin, Dor Verbin, Jonathan T. Barron, Ben Mildenhall:
Nuvo: Neural UV Mapping for Unruly 3D Representations. ECCV (39) 2024: 18-34 - [c28]Benjamin Attal
Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering. ECCV (28) 2024: 20-36 - [c27]Dave Epstein, Ben Poole, Ben Mildenhall, Alexei A. Efros, Aleksander Holynski:
Disentangled 3D Scene Generation with Layout Learning. ICML 2024 - [c26]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. SIGGRAPH Asia 2024: 15:1-15:10 - [i41]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 abs/2402.12377 (2024) - [i40]Dave Epstein, Ben Poole, Ben Mildenhall, Alexei A. Efros, Aleksander Holynski:
Disentangled 3D Scene Generation with Layout Learning. CoRR abs/2402.16936 (2024) - [i39]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 abs/2403.12365 (2024) - [i38]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 abs/2405.14871 (2024) - [i37]Benjamin Attal, Dor Verbin, Ben Mildenhall, Peter Hedman, Jonathan T. Barron, Matthew O'Toole, Pratul P. Srinivasan:
Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering. CoRR abs/2409.05867 (2024) - 2023
- [j7]Christian Reiser
MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes. ACM Trans. Graph. 42(4): 89:1-89:12 (2023) - [j6]Keunhong Park, Philipp Henzler, Ben Mildenhall, Jonathan T. Barron, Ricardo Martin-Brualla:
CamP: Camera Preconditioning for Neural Radiance Fields. ACM Trans. Graph. 42(6): 208:1-208:11 (2023) - [c25]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: 46-55 - [c24]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: 2349-2359 - [c23]Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, Peter Hedman:
Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields. ICCV 2023: 19640-19648 - [c22]Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall:
DreamFusion: Text-to-3D using 2D Diffusion. ICLR 2023 - [c21]Lior Yariv
BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis. SIGGRAPH (Conference Paper Track) 2023: 46:1-46:9 - [i36]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 abs/2302.12249 (2023) - [i35]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 abs/2302.14859 (2023) - [i34]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 abs/2303.13508 (2023) - [i33]Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, Peter Hedman:
Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields. CoRR abs/2304.06706 (2023) - [i32]Dor Verbin, Ben Mildenhall, Peter Hedman, Jonathan T. Barron, Todd E. Zickler, Pratul P. Srinivasan:
Eclipse: Disambiguating Illumination and Materials using Unintended Shadows. CoRR abs/2305.16321 (2023) - [i31]Keunhong Park, Philipp Henzler, Ben Mildenhall, Jonathan T. Barron, Ricardo Martin-Brualla:
CamP: Camera Preconditioning for Neural Radiance Fields. CoRR abs/2308.10902 (2023) - [i30]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 abs/2310.07204 (2023) - [i29]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 abs/2312.02149 (2023) - [i28]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 abs/2312.02981 (2023) - [i27]Pratul P. Srinivasan, Stephan J. Garbin, Dor Verbin, Jonathan T. Barron, Ben Mildenhall:
Nuvo: Neural UV Mapping for Unruly 3D Representations. CoRR abs/2312.05283 (2023) - 2022
- [j5]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): 99-106 (2022) - [j4]Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul P. Srinivasan, Edgar Tretschk, Yifan Wang
Advances in Neural Rendering. Comput. Graph. Forum 41(2): 703-735 (2022) - [c20]Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, Ben Poole:
Zero-Shot Text-Guided Object Generation with Dream Fields. CVPR 2022: 857-866 - [c19]Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, Peter Hedman:
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields. CVPR 2022: 5460-5469 - [c18]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: 5470-5480 - [c17]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: 5481-5490 - [c16]Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben P. Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, Henrik Kretzschmar:
Block-NeRF: Scalable Large Scene Neural View Synthesis. CVPR 2022: 8238-8248 - [c15]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: 12882-12891 - [c14]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: 16169-16178 - [c13]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: 429-446 - [i26]Yifan Jiang, Bart Wronski, Ben Mildenhall, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue:
Fast and High-Quality Image Denoising via Malleable Convolutions. CoRR abs/2201.00392 (2022) - [i25]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 abs/2202.05263 (2022) - [i24]Andrea Tagliasacchi, Ben Mildenhall:
Volume Rendering Digest (for NeRF). CoRR abs/2209.02417 (2022) - [i23]Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall:
DreamFusion: Text-to-3D using 2D Diffusion. CoRR abs/2209.14988 (2022) - [i22]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 abs/2211.09682 (2022) - 2021
- [c12]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: 2846-2855 - [c11]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: 7495-7504 - [c10]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: 5835-5844 - [c9]Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall, Jonathan T. Barron, Paul E. Debevec:
Baking Neural Radiance Fields for Real-Time View Synthesis. ICCV 2021: 5855-5864 - [c8]Ayush Tewari, Ohad Fried
Advances in neural rendering. SIGGRAPH Courses 2021: 1:1-1:320 - [i21]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 abs/2103.13415 (2021) - [i20]Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall, Jonathan T. Barron, Paul E. Debevec:
Baking Neural Radiance Fields for Real-Time View Synthesis. CoRR abs/2103.14645 (2021) - [i19]Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul P. Srinivasan, Edgar Tretschk, Wang Yifan, 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 abs/2111.05849 (2021) - [i18]Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, Peter Hedman:
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields. CoRR abs/2111.12077 (2021) - [i17]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 abs/2111.13679 (2021) - [i16]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 abs/2112.00724 (2021) - [i15]Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, Ben Poole:
Zero-Shot Text-Guided Object Generation with Dream Fields. CoRR abs/2112.01455 (2021) - [i14]Barbara Roessle, Jonathan T. Barron, Ben Mildenhall, Pratul P. Srinivasan, Matthias Nießner:
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views. CoRR abs/2112.03288 (2021) - [i13]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 abs/2112.03907 (2021) - 2020
- [b1]Ben Mildenhall:
Neural Scene Representations for View Synthesis. University of California, Berkeley, USA, 2020 - [c7]Matthew Tancik, Ben Mildenhall, Ren Ng:
StegaStamp: Invisible Hyperlinks in Physical Photographs. CVPR 2020: 2114-2123 - [c6]Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely:
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination. CVPR 2020: 8077-8086 - [c5]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: 328-344 - [c4]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: 405-421 - [c3]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 - [i12]Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely:
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination. CoRR abs/2003.08367 (2020) - [i11]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 abs/2003.08934 (2020) - [i10]Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains. CoRR abs/2006.10739 (2020) - [i9]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 abs/2008.01815 (2020) - [i8]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 abs/2008.03824 (2020) - [i7]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 abs/2012.02189 (2020) - [i6]Pratul P. Srinivasan, Boyang Deng, Xiuming Zhang
NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis. CoRR abs/2012.03927 (2020)
2010 – 2019
- 2019
- [j3]Ben Mildenhall, Pratul P. Srinivasan, Rodrigo Ortiz Cayon, Nima Khademi Kalantari
Local light field fusion: practical view synthesis with prescriptive sampling guidelines. ACM Trans. Graph. 38(4): 29:1-29:14 (2019) - [c2]Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron:
Unprocessing Images for Learned Raw Denoising. CVPR 2019: 11036-11045 - [i5]Matthew Tancik, Ben Mildenhall, Ren Ng:
StegaStamp: Invisible Hyperlinks in Physical Photographs. CoRR abs/1904.05343 (2019) - [i4]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 abs/1905.00889 (2019) - 2018
- [j2]Nelson Max
Approximations for the distribution of microflake normals. Vis. Comput. 34(3): 443-457 (2018) - [c1]Ben Mildenhall, Jonathan T. Barron, Jiawen Chen, Dillon Sharlet, Ren Ng, Robert Carroll:
Burst Denoising With Kernel Prediction Networks. CVPR 2018: 2502-2510 - [i3]Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron:
Unprocessing Images for Learned Raw Denoising. CoRR abs/1811.11127 (2018) - 2017
- [i2]Nick Antipa, Grace Kuo, Reinhard Heckel, Ben Mildenhall, Emrah Bostan, Ren Ng, Laura Waller:
DiffuserCam: Lensless Single-exposure 3D Imaging. CoRR abs/1710.02134 (2017) - [i1]Ben Mildenhall, Jonathan T. Barron, Jiawen Chen, Dillon Sharlet, Ren Ng, Robert Carroll:
Burst Denoising with Kernel Prediction Networks. CoRR abs/1712.02327 (2017) - 2015
- [j1]Daniel Ritchie
Controlling procedural modeling programs with stochastically-ordered sequential Monte Carlo. ACM Trans. Graph. 34(4): 105:1-105:11 (2015)
Coauthor Index
[j9] [j8] [c32] [c30] [c29] [c28] [c26] [i41] [i38] [i37] [j7] [j6] [c25] [c24] [c23] [c22] [c21] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i28] [i27] [j5] [j4] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [i26] [i25] [i23] [i22] [c12] [c11] [c10] [c9] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [c6] [c4] [c3] [i12] [i11] [i10] [i7] [i6] [c2] [c1] [i3] [i1]
[j8] [c32] [c31] [c30] [c29] [c28] [c26] [i41] [i38] [i37] [j7] [c23] [c21] [i36] [i35] [i33] [i32] [i29] [i28] [i27] [j5] [j4] [c19] [c17] [c16] [c15] [c14] [i25] [c12] [c11] [c10] [c9] [c8] [i21] [i20] [i19] [i18] [i17] [i14] [i13] [c6] [c5] [c4] [c3] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [j3] [i4]
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