Jonathan T. Barron

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 155

Top Venues

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Andreas Engelhardt, Amit Raj, Mark Boss, Yunzhi Zhang, Abhishek Kar, Yuanzhen Li, Deqing Sun, Ricardo Martin-Brualla, Jonathan T. Barron, Hendrik P. A. Lensch, Varun Jampani
SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild. 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)
Guandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan T. Barron, Thomas A. Funkhouser, Bharath Hariharan, Serge J. Belongie
Polynomial Neural Fields for Subband Decomposition and Manipulation. 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)
Daniel Duckworth, Peter Hedman, Christian Reiser, Peter Zhizhin, Jean-François Thibert, Mario Lucic, Richard Szeliski, Jonathan T. Barron
SMERF: Streamable Memory Efficient Radiance Fields for Real-Time Large-Scene Exploration. 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)
Guandao Yang, Abhijit Kundu, Leonidas J. Guibas, Jonathan T. Barron, Ben Poole
Learning a Diffusion Prior for NeRFs. 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)
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)
Chung-Yi Weng, Brian Curless, Pratul P. Srinivasan, Jonathan T. Barron, Ira Kemelmacher-Shlizerman
HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video. 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)
Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas A. Funkhouser, Vittorio Ferrari
Urban Radiance Fields. CVPR (2022)
Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez, Phillip Isola
NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields. CoRR (2022)
Yen-Chen Lin, Pete Florence, Andy Zeng, Jonathan T. Barron, Yilun Du, Wei-Chiu Ma, Anthony Simeonov, Alberto Rodriguez Garcia, Phillip Isola
MIRA: Mental Imagery for Robotic Affordances. CoRL (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)
Chung-Yi Weng, Brian Curless, Pratul P. Srinivasan, Jonathan T. Barron, Ira Kemelmacher-Shlizerman
HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video. CVPR (2022)
Mark Boss, Andreas Engelhardt, Abhishek Kar, Yuanzhen Li, Deqing Sun, Jonathan T. Barron, Hendrik P. A. Lensch, Varun Jampani
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections. CoRR (2022)
Guandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan T. Barron, Thomas A. Funkhouser, Bharath Hariharan, Serge J. Belongie
Polynomial Neural Fields for Subband Decomposition and Manipulation. NeurIPS (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)
Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez, Phillip Isola
NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields. ICRA (2022)
Yen-Chen Lin, Pete Florence, Andy Zeng, Jonathan T. Barron, Yilun Du, Wei-Chiu Ma, Anthony Simeonov, Alberto Rodriguez Garcia, Phillip Isola
MIRA: Mental Imagery for Robotic Affordances. CoRR (2022)
Mark Boss, Andreas Engelhardt, Abhishek Kar, Yuanzhen Li, Deqing Sun, Jonathan T. Barron, Hendrik P. A. Lensch, Varun Jampani
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections. NeurIPS (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)
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)
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)
Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, Daniel Duckworth
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections. CVPR (2021)
Nikita Srivatsan, Si Wu, Jonathan T. Barron, Taylor Berg-Kirkpatrick
Scalable Font Reconstruction with Dual Latent Manifolds. EMNLP (1) (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)
Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P. Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas A. Funkhouser
IBRNet: Learning Multi-View Image-Based Rendering. CoRR (2021)
Keunhong Park, Utkarsh Sinha, Peter Hedman, Jonathan T. Barron, Sofien Bouaziz, Dan B. Goldman, Ricardo Martin-Brualla, Steven M. Seitz
HyperNeRF: a higher-dimensional representation for topologically varying neural radiance fields. ACM Trans. Graph. 40 (6) (2021)
Nikita Srivatsan, Si Wu, Jonathan T. Barron, Taylor Berg-Kirkpatrick
Scalable Font Reconstruction with Dual Latent Manifolds. CoRR (2021)
Shumian Xin, Neal Wadhwa, Tianfan Xue, Jonathan T. Barron, Pratul P. Srinivasan, Jiawen Chen, Ioannis Gkioulekas, Rahul Garg
Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image. CoRR (2021)
Mahmoud Afifi, Jonathan T. Barron, Chloe LeGendre, Yun-Ta Tsai, Francois Bleibel
Cross-Camera Convolutional Color Constancy. ICCV (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)
Jonathan T. Barron
Squareplus: A Softplus-Like Algebraic Rectifier. 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)
Mark Boss, Varun Jampani, Raphael Braun, Ce Liu, Jonathan T. Barron, Hendrik P. A. Lensch
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition. NeurIPS (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)
Mark Boss, Varun Jampani, Raphael Braun, Ce Liu, Jonathan T. Barron, Hendrik P. A. Lensch
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition. CoRR (2021)
Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P. A. Lensch
NeRD: Neural Reflectance Decomposition from Image Collections. ICCV (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)
Xiuming Zhang, Pratul P. Srinivasan, Boyang Deng, Paul E. Debevec, William T. Freeman, Jonathan T. Barron
NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination. CoRR (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)
Yicheng Wu, Qiurui He, Tianfan Xue, Rahul Garg, Jiawen Chen, Ashok Veeraraghavan, Jonathan T. Barron
How to Train Neural Networks for Flare Removal. ICCV (2021)
Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P. Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas A. Funkhouser
IBRNet: Learning Multi-View Image-Based Rendering. CVPR (2021)
Xiuming Zhang, Pratul P. Srinivasan, Boyang Deng, Paul E. Debevec, William T. Freeman, Jonathan T. Barron
NeRFactor: neural factorization of shape and reflectance under an unknown illumination. ACM Trans. Graph. 40 (6) (2021)
Keunhong Park, Utkarsh Sinha, Jonathan T. Barron, Sofien Bouaziz, Dan B. Goldman, Steven M. Seitz, Ricardo Martin-Brualla
Nerfies: Deformable Neural Radiance Fields. ICCV (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)
Shumian Xin, Neal Wadhwa, Tianfan Xue, Jonathan T. Barron, Pratul P. Srinivasan, Jiawen Chen, Ioannis Gkioulekas, Rahul Garg
Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image. ICCV (2021)
Keunhong Park, Utkarsh Sinha, Peter Hedman, Jonathan T. Barron, Sofien Bouaziz, Dan B. Goldman, Ricardo Martin-Brualla, Steven M. Seitz
HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields. CoRR (2021)
Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas A. Funkhouser, Vittorio Ferrari
Urban Radiance Fields. CoRR (2021)
Simon Niklaus, Xuaner Cecilia Zhang, Jonathan T. Barron, Neal Wadhwa, Rahul Garg, Feng Liu, Tianfan Xue
Learned Dual-View Reflection Removal. WACV (2021)
Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin
iNeRF: Inverting Neural Radiance Fields for Pose Estimation. IROS (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)
Jonathan T. Barron
A Generalization of Otsu's Method and Minimum Error Thresholding. ECCV (5) (2020)
Simon Niklaus, Xuaner Cecilia Zhang, Jonathan T. Barron, Neal Wadhwa, Rahul Garg, Feng Liu, Tianfan Xue
Learned Dual-View Reflection Removal. CoRR (2020)
Xuaner Cecilia Zhang, Jonathan T. Barron, Yun-Ta Tsai, Rohit Pandey, Xiuming Zhang, Ren Ng, David E. Jacobs
Portrait Shadow Manipulation. CoRR (2020)
Yicheng Wu, Qiurui He, Tianfan Xue, Rahul Garg, Jiawen Chen, Ashok Veeraraghavan, Jonathan T. Barron
Single-Image Lens Flare Removal. CoRR (2020)
Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih
Learning to Autofocus. CVPR (2020)
Jonathan T. Barron, Jitendra Malik
Shape, Illumination, and Reflectance from Shading. CoRR (2020)
Orly Liba, Yair Movshovitz-Attias, Longqi Cai, Yael Pritch, Yun-Ta Tsai, Huizhong Chen, Elad Eban, Jonathan T. Barron
Sky Optimization: Semantically aware image processing of skies in low-light photography. CVPR Workshops (2020)
Jonathan T. Barron
A Convenient Generalization of Schlick's Bias and Gain Functions. 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)
Jonathan T. Barron
A Generalization of Otsu's Method and Minimum Error Thresholding. CoRR (2020)
Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih
Learning to Autofocus. 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)
Orly Liba, Longqi Cai, Yun-Ta Tsai, Elad Eban, Yair Movshovitz-Attias, Yael Pritch, Huizhong Chen, Jonathan T. Barron
Sky Optimization: Semantically aware image processing of skies in low-light photography. CoRR (2020)
Mahmoud Afifi, Jonathan T. Barron, Chloe LeGendre, Yun-Ta Tsai, Francois Bleibel
Cross-Camera Convolutional Color Constancy. 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)
Tiancheng Sun, Zexiang Xu, Xiuming Zhang, Sean Ryan Fanello, Christoph Rhemann, Paul E. Debevec, Yun-Ta Tsai, Jonathan T. Barron, Ravi Ramamoorthi
Light Stage Super-Resolution: Continuous High-Frequency Relighting. CoRR (2020)
Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P. A. Lensch
NeRD: Neural Reflectance Decomposition from Image Collections. 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)
Tiancheng Sun, Zexiang Xu, Xiuming Zhang, Sean Ryan Fanello, Christoph Rhemann, Paul E. Debevec, Yun-Ta Tsai, Jonathan T. Barron, Ravi Ramamoorthi
Light stage super-resolution: continuous high-frequency relighting. ACM Trans. Graph. 39 (6) (2020)
Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin
iNeRF: Inverting Neural Radiance Fields for Pose Estimation. CoRR (2020)

Jonathan T. Barron.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jonathan T. Barron