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Baking Neural Radiance Fields for Real-Time View Synthesis


Mar 26, 2021
Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall, Jonathan T. Barron, Paul Debevec

* Project page: https://nerf.live 

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


Mar 24, 2021
Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, Pratul P. Srinivasan


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IBRNet: Learning Multi-View Image-Based Rendering


Feb 25, 2021
Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas Funkhouser


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iNeRF: Inverting Neural Radiance Fields for Pose Estimation


Dec 10, 2020
Lin Yen-Chen, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin

* Website: http://yenchenlin.me/inerf/ 

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NeRD: Neural Reflectance Decomposition from Image Collections


Dec 08, 2020
Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P. A. Lensch


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


Dec 07, 2020
Pratul P. Srinivasan, Boyang Deng, Xiuming Zhang, Matthew Tancik, Ben Mildenhall, Jonathan T. Barron

* Project page: https://people.eecs.berkeley.edu/~pratul/nerv 

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Learned Initializations for Optimizing Coordinate-Based Neural Representations


Dec 03, 2020
Matthew Tancik, Ben Mildenhall, Terrance Wang, Divi Schmidt, Pratul P. Srinivasan, Jonathan T. Barron, Ren Ng

* Project page: https://www.matthewtancik.com/learnit 

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Single-Image Lens Flare Removal


Nov 26, 2020
Yicheng Wu, Qiurui He, Tianfan Xue, Rahul Garg, Jiawen Chen, Ashok Veeraraghavan, Jonathan T. Barron

* Updated authors' information 

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Deformable Neural Radiance Fields


Nov 26, 2020
Keunhong Park, Utkarsh Sinha, Jonathan T. Barron, Sofien Bouaziz, Dan B Goldman, Steven M. Seitz, Ricardo Martin-Brualla

* Project page with videos: https://nerfies.github.io/ 

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Cross-Camera Convolutional Color Constancy


Nov 24, 2020
Mahmoud Afifi, Jonathan T. Barron, Chloe LeGendre, Yun-Ta Tsai, Francois Bleibel


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Light Stage Super-Resolution: Continuous High-Frequency Relighting


Oct 17, 2020
Tiancheng Sun, Zexiang Xu, Xiuming Zhang, Sean Fanello, Christoph Rhemann, Paul Debevec, Yun-Ta Tsai, Jonathan T. Barron, Ravi Ramamoorthi

* Siggraph Asia 2020 

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A Convenient Generalization of Schlick's Bias and Gain Functions


Oct 17, 2020
Jonathan T. Barron


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Shape, Illumination, and Reflectance from Shading


Oct 07, 2020
Jonathan T. Barron, Jitendra Malik

* TPAMI 2015 

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Learned Dual-View Reflection Removal


Oct 01, 2020
Simon Niklaus, Xuaner Cecilia Zhang, Jonathan T. Barron, Neal Wadhwa, Rahul Garg, Feng Liu, Tianfan Xue

* http://sniklaus.com/dualref 

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Neural Light Transport for Relighting and View Synthesis


Aug 20, 2020
Xiuming Zhang, Sean Fanello, Yun-Ta Tsai, Tiancheng Sun, Tianfan Xue, Rohit Pandey, Sergio Orts-Escolano, Philip Davidson, Christoph Rhemann, Paul Debevec, Jonathan T. Barron, Ravi Ramamoorthi, William T. Freeman

* Project Page: http://nlt.csail.mit.edu/ 

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A Generalization of Otsu's Method and Minimum Error Thresholding


Aug 19, 2020
Jonathan T. Barron

* ECCV 2020 

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NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections


Aug 13, 2020
Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, Daniel Duckworth

* Project website: https://nerf-w.github.io. Ricardo Martin-Brualla, Noha Radwan, and Mehdi S. M. Sajjadi contributed equally to this work. Updated affiliations 

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


Jun 18, 2020
Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, Ren Ng

* Project page: https://people.eecs.berkeley.edu/~bmild/fourfeat/ 

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Sky Optimization: Semantically aware image processing of skies in low-light photography


Jun 15, 2020
Orly Liba, Longqi Cai, Yun-Ta Tsai, Elad Eban, Yair Movshovitz-Attias, Yael Pritch, Huizhong Chen, Jonathan T. Barron

* Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. 2020 

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What Matters in Unsupervised Optical Flow


Jun 08, 2020
Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova

* Source code is available at https://github.com/google-research/google-research/tree/master/uflow 

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Portrait Shadow Manipulation


May 20, 2020
Xuaner Cecilia Zhang, Jonathan T. Barron, Yun-Ta Tsai, Rohit Pandey, Xiuming Zhang, Ren Ng, David E. Jacobs

* (updated version); SIGGRAPH 2020;Project webpage: https://people.eecs.berkeley.edu/~cecilia77/project-pages/portrait Video: https://youtu.be/M_qYTXhzyac 

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Learning to Autofocus


May 02, 2020
Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih

* CVPR 2020 

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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis


Mar 19, 2020
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng

* Project page with videos and code: http://tancik.com/nerf 

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Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination


Mar 18, 2020
Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely

* CVPR 2020. Project page: https://people.eecs.berkeley.edu/~pratul/lighthouse/ 

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Boundary Cues for 3D Object Shape Recovery


Dec 24, 2019
Kevin Karsch, Zicheng Liao, Jason Rock, Jonathan T. Barron, Derek Hoiem


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