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2020 – today
- 2023
[i69]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 abs/2302.04862 (2023)- [i68]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) - [i67]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) - 2022
- [j17]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) - [j16]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): 703-735 (2022) - [c59]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: 1916-1927 - [c58]Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, Ben Poole:
Zero-Shot Text-Guided Object Generation with Dream Fields. CVPR 2022: 857-866 - [c57]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 - [c56]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 - [c55]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 - [c54]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 - [c53]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 - [c52]Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas A. Funkhouser, Vittorio Ferrari:
Urban Radiance Fields. CVPR 2022: 12922-12932 - [c51]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 - [c50]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: 16189-16199 - [c49]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 - [c48]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: 6496-6503 - [i66]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) - [i65]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 abs/2201.04127 (2022) - [i64]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) - [i63]Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez Garcia, Phillip Isola:
NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields. CoRR abs/2203.01913 (2022) - [i62]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 abs/2205.15768 (2022) - [i61]Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall:
DreamFusion: Text-to-3D using 2D Diffusion. CoRR abs/2209.14988 (2022) - [i60]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) - [i59]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 abs/2212.06088 (2022) - 2021
- [j15]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): 237:1-237:18 (2021) - [j14]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): 238:1-238:12 (2021) - [c47]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 - [c46]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: 4690-4699 - [c45]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: 7210-7219 - [c44]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 - [c43]Nikita Srivatsan, Si Wu, Jonathan T. Barron, Taylor Berg-Kirkpatrick:
Scalable Font Reconstruction with Dual Latent Manifolds. EMNLP (1) 2021: 3060-3072 - [c42]Mahmoud Afifi, Jonathan T. Barron, Chloe LeGendre, Yun-Ta Tsai, Francois Bleibel:
Cross-Camera Convolutional Color Constancy. ICCV 2021: 1961-1970 - [c41]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: 2208-2218 - [c40]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: 2219-2227 - [c39]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 - [c38]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: 5845-5854 - [c37]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 - [c36]Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P. A. Lensch:
NeRD: Neural Reflectance Decomposition from Image Collections. ICCV 2021: 12664-12674 - [c35]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: 1323-1330 - [c34]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: 10691-10704 - [c33]Simon Niklaus, Xuaner Cecilia Zhang, Jonathan T. Barron, Neal Wadhwa, Rahul Garg, Feng Liu, Tianfan Xue:
Learned Dual-View Reflection Removal. WACV 2021: 3712-3721 - [i58]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 abs/2102.13090 (2021) - [i57]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) - [i56]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) - [i55]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 abs/2106.01970 (2021) - [i54]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 abs/2106.13228 (2021) - [i53]Nikita Srivatsan, Si Wu, Jonathan T. Barron, Taylor Berg-Kirkpatrick:
Scalable Font Reconstruction with Dual Latent Manifolds. CoRR abs/2109.06627 (2021) - [i52]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 abs/2110.05655 (2021) - [i51]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 abs/2110.14373 (2021) - [i50]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 abs/2111.05849 (2021) - [i49]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) - [i48]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) - [i47]Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas A. Funkhouser, Vittorio Ferrari:
Urban Radiance Fields. CoRR abs/2111.14643 (2021) - [i46]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) - [i45]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) - [i44]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) - [i43]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) - [i42]Jonathan T. Barron:
Squareplus: A Softplus-Like Algebraic Rectifier. CoRR abs/2112.11687 (2021) - 2020
- [j13]Xuaner Cecilia Zhang, Jonathan T. Barron, Yun-Ta Tsai, Rohit Pandey, Xiuming Zhang, Ren Ng, David E. Jacobs:
Portrait shadow manipulation. ACM Trans. Graph. 39(4): 78 (2020) - [j12]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): 260:1-260:12 (2020) - [c32]Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih:
Learning to Autofocus. CVPR 2020: 2227-2236 - [c31]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: 2230-2238 - [c30]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 - [c29]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 - [c28]Jonathan T. Barron:
A Generalization of Otsu's Method and Minimum Error Thresholding. ECCV (5) 2020: 455-470 - [c27]Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova:
What Matters in Unsupervised Optical Flow. ECCV (2) 2020: 557-572 - [c26]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 - [i41]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) - [i40]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) - [i39]Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih:
Learning to Autofocus. CoRR abs/2004.12260 (2020) - [i38]Xuaner Cecilia Zhang, Jonathan T. Barron, Yun-Ta Tsai, Rohit Pandey, Xiuming Zhang, Ren Ng, David E. Jacobs:
Portrait Shadow Manipulation. CoRR abs/2005.08925 (2020) - [i37]Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova:
What Matters in Unsupervised Optical Flow. CoRR abs/2006.04902 (2020) - [i36]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 abs/2006.10172 (2020) - [i35]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 abs/2006.10739 (2020) - [i34]Jonathan T. Barron:
A Generalization of Otsu's Method and Minimum Error Thresholding. CoRR abs/2007.07350 (2020) - [i33]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. CoRR abs/2008.02268 (2020) - [i32]Xiuming Zhang, Sean Ryan Fanello, Yun-Ta Tsai, Tiancheng Sun, Tianfan Xue, Rohit Pandey, Sergio Orts-Escolano, Philip L. Davidson, Christoph Rhemann, Paul E. Debevec, Jonathan T. Barron, Ravi Ramamoorthi, William T. Freeman:
Neural Light Transport for Relighting and View Synthesis. CoRR abs/2008.03806 (2020) - [i31]Simon Niklaus, Xuaner Cecilia Zhang, Jonathan T. Barron, Neal Wadhwa, Rahul Garg, Feng Liu, Tianfan Xue:
Learned Dual-View Reflection Removal. CoRR abs/2010.00702 (2020) - [i30]Jonathan T. Barron, Jitendra Malik:
Shape, Illumination, and Reflectance from Shading. CoRR abs/2010.03592 (2020) - [i29]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 abs/2010.08888 (2020) - [i28]Jonathan T. Barron:
A Convenient Generalization of Schlick's Bias and Gain Functions. CoRR abs/2010.09714 (2020) - [i27]Mahmoud Afifi, Jonathan T. Barron, Chloe LeGendre, Yun-Ta Tsai, Francois Bleibel:
Cross-Camera Convolutional Color Constancy. CoRR abs/2011.11890 (2020) - [i26]Yicheng Wu, Qiurui He, Tianfan Xue, Rahul Garg, Jiawen Chen, Ashok Veeraraghavan, Jonathan T. Barron:
Single-Image Lens Flare Removal. CoRR abs/2011.12485 (2020) - [i25]Keunhong Park, Utkarsh Sinha, Jonathan T. Barron, Sofien Bouaziz, Dan B. Goldman, Steven M. Seitz, Ricardo Martin-Brualla:
Deformable Neural Radiance Fields. CoRR abs/2011.12948 (2020) - [i24]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) - [i23]Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P. A. Lensch:
NeRD: Neural Reflectance Decomposition from Image Collections. CoRR abs/2012.03918 (2020) - [i22]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 abs/2012.03927 (2020) - [i21]Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez Garcia, Phillip Isola, Tsung-Yi Lin:
iNeRF: Inverting Neural Radiance Fields for Pose Estimation. CoRR abs/2012.05877 (2020)
2010 – 2019
- 2019
- [j11]Tiancheng Sun, Jonathan T. Barron, Yun-Ta Tsai, Zexiang Xu, Xueming Yu, Graham Fyffe, Christoph Rhemann, Jay Busch, Paul E. Debevec, Ravi Ramamoorthi:
Single image portrait relighting. ACM Trans. Graph. 38(4): 79:1-79:12 (2019) - [j10]Orly Liba, Kiran Murthy, Yun-Ta Tsai, Tim Brooks, Tianfan Xue, Nikhil Karnad, Qiurui He, Jonathan T. Barron, Dillon Sharlet, Ryan Geiss, Samuel W. Hasinoff, Yael Pritch, Marc Levoy:
Handheld mobile photography in very low light. ACM Trans. Graph. 38(6): 164:1-164:16 (2019) - [c25]Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely:
Pushing the Boundaries of View Extrapolation With Multiplane Images. CVPR 2019: 175-184 - [c24]Jonathan T. Barron:
A General and Adaptive Robust Loss Function. CVPR 2019: 4331-4339 - [c23]Tim Brooks, Jonathan T. Barron:
Learning to Synthesize Motion Blur. CVPR 2019: 6840-6848 - [c22]Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron:
Unprocessing Images for Learned Raw Denoising. CVPR 2019: 11036-11045 - [c21]Nikita Srivatsan, Jonathan T. Barron, Dan Klein, Taylor Berg-Kirkpatrick:
A Deep Factorization of Style and Structure in Fonts. EMNLP/IJCNLP (1) 2019: 2195-2205 - [c20]Jian Wang, Tianfan Xue, Jonathan T. Barron, Jiawen Chen:
Stereoscopic Dark Flash for Low-light Photography. ICCP 2019: 1-10 - [c19]Rahul Garg, Neal Wadhwa, Sameer Ansari, Jonathan T. Barron:
Learning Single Camera Depth Estimation Using Dual-Pixels. ICCV 2019: 7627-7636 - [i20]Jian Wang, Tianfan Xue, Jonathan T. Barron, Jiawen Chen:
Stereoscopic Dark Flash for Low-light Photography. CoRR abs/1901.01370 (2019) - [i19]Rahul Garg, Neal Wadhwa, Sameer Ansari, Jonathan T. Barron:
Learning Single Camera Depth Estimation using Dual-Pixels. CoRR abs/1904.05822 (2019) - [i18]Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely:
Pushing the Boundaries of View Extrapolation with Multiplane Images. CoRR abs/1905.00413 (2019) - [i17]Tiancheng Sun, Jonathan T. Barron, Yun-Ta Tsai, Zexiang Xu, Xueming Yu, Graham Fyffe, Christoph Rhemann, Jay Busch, Paul E. Debevec, Ravi Ramamoorthi:
Single Image Portrait Relighting. CoRR abs/1905.00824 (2019) - [i16]Nikita Srivatsan, Jonathan T. Barron, Dan Klein, Taylor Berg-Kirkpatrick:
A Deep Factorization of Style and Structure in Fonts. CoRR abs/1910.00748 (2019) - [i15]Orly Liba, Kiran Murthy, Yun-Ta Tsai, Tim Brooks, Tianfan Xue, Nikhil Karnad, Qiurui He, Jonathan T. Barron, Dillon Sharlet, Ryan Geiss, Samuel W. Hasinoff, Yael Pritch, Marc Levoy:
Handheld Mobile Photography in Very Low Light. CoRR abs/1910.11336 (2019) - [i14]Kevin Karsch, Zicheng Liao, Jason Rock, Jonathan T. Barron, Derek Hoiem:
Boundary Cues for 3D Object Shape Recovery. CoRR abs/1912.11566 (2019) - 2018
- [j9]Neal Wadhwa, Rahul Garg, David E. Jacobs, Bryan E. Feldman, Nori Kanazawa, Robert Carroll, Yair Movshovitz-Attias, Jonathan T. Barron, Yael Pritch, Marc Levoy:
Synthetic depth-of-field with a single-camera mobile phone. ACM Trans. Graph. 37(4): 64 (2018) - [j8]Julien P. C. Valentin, Adarsh Kowdle, Jonathan T. Barron, Neal Wadhwa, Max Dzitsiuk, Michael Schoenberg, Vivek Verma, Ambrus Csaszar, Eric Turner, Ivan Dryanovski, João Afonso, Jose Pascoal, Konstantine Tsotsos, Mira Leung, Mirko Schmidt, Onur G. Guleryuz, Sameh Khamis, Vladimir Tankovich, Sean Ryan Fanello, Shahram Izadi, Christoph Rhemann:
Depth from motion for smartphone AR. ACM Trans. Graph. 37(6): 193 (2018) - [c18]Ben Mildenhall, Jonathan T. Barron, Jiawen Chen, Dillon Sharlet, Ren Ng, Robert Carroll:
Burst Denoising With Kernel Prediction Networks. CVPR 2018: 2502-2510 - [c17]Pratul P. Srinivasan, Rahul Garg, Neal Wadhwa, Ren Ng, Jonathan T. Barron:
Aperture Supervision for Monocular Depth Estimation. CVPR 2018: 6393-6401 - [i13]Neal Wadhwa, Rahul Garg, David E. Jacobs, Bryan E. Feldman, Nori Kanazawa, Robert Carroll, Yair Movshovitz-Attias, Jonathan T. Barron, Yael Pritch, Marc Levoy:
Synthetic Depth-of-Field with a Single-Camera Mobile Phone. CoRR abs/1806.04171 (2018) - [i12]Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron:
Unprocessing Images for Learned Raw Denoising. CoRR abs/1811.11127 (2018) - [i11]Tim Brooks, Jonathan T. Barron:
Learning to Synthesize Motion Blur. CoRR abs/1811.11745 (2018) - 2017
- [j7]Jordi Pont-Tuset, Pablo Arbelaez, Jonathan T. Barron, Ferran Marqués, Jitendra Malik:
Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 128-140 (2017) - [j6]Michaël Gharbi, Jiawen Chen, Jonathan T. Barron, Samuel W. Hasinoff, Frédo Durand:
Deep bilateral learning for real-time image enhancement. ACM Trans. Graph. 36(4): 118:1-118:12 (2017) - [c16]Jonathan T. Barron, Yun-Ta Tsai:
Fast Fourier Color Constancy. CVPR 2017: 6950-6958 - [c15]Amrita Mazumdar, Armin Alaghi, Jonathan T. Barron, David Gallup, Luis Ceze, Mark Oskin, Steven M. Seitz:
A hardware-friendly bilateral solver for real-time virtual reality video. High Performance Graphics 2017: 13:1-13:10 - [i10]Jonathan T. Barron:
A More General Robust Loss Function. CoRR abs/1701.03077 (2017) - [i9]Jonathan T. Barron:
Continuously Differentiable Exponential Linear Units. CoRR abs/1704.07483 (2017) - [i8]Michaël Gharbi, Jiawen Chen, Jonathan T. Barron, Samuel W. Hasinoff, Frédo Durand:
Deep Bilateral Learning for Real-Time Image Enhancement. CoRR abs/1707.02880 (2017) - [i7]