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2020 – today
- 2024
[c24]Arjun Karpur, Guilherme Perrotta, Ricardo Martin-Brualla, Howard Zhou, André Araújo:
LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals. 3DV 2024: 11-20- [c23]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. CVPR 2024: 19636-19646 - [i27]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 abs/2401.10171 (2024) - [i26]Ruiqi Gao, Aleksander Holynski, Philipp Henzler, Arthur Brussee, Ricardo Martin-Brualla, Pratul P. Srinivasan, Jonathan T. Barron, Ben Poole:
CAT3D: Create Anything in 3D with Multi-View Diffusion Models. CoRR abs/2405.10314 (2024) - [i25]Xiaoming Zhao, Pratul P. Srinivasan, Dor Verbin, Keunhong Park, Ricardo Martin-Brualla, Philipp Henzler:
IllumiNeRF: 3D Relighting without Inverse Rendering. CoRR abs/2406.06527 (2024) - 2023
- [j11]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) - [c22]Liesbeth Claessens, Fabian Manhardt, Ricardo Martin-Brualla, Roland Siegwart, Cesar Dario Cadena Lerma, Federico Tombari:
Robust and Efficient Edge-guided Pose Estimation with Resolution-conditioned NeRF. BMVC 2023: 543 - [c21]Mikaela Angelina Uy, Ricardo Martin-Brualla, Leonidas J. Guibas, Ke Li:
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates. CVPR 2023: 16518-16527 - [c20]Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi:
Novel View Synthesis with Diffusion Models. ICLR 2023 - [c19]Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araújo, Ricardo Martin-Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou:
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. NeurIPS 2023 - [i24]Arjun Karpur, Guilherme Perrotta, Ricardo Martin-Brualla, Howard Zhou, André Araújo:
LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals. CoRR abs/2303.12779 (2023) - [i23]Mikaela Angelina Uy, Ricardo Martin-Brualla, Leonidas J. Guibas, Ke Li:
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates. CoRR abs/2303.13582 (2023) - [i22]Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araújo, Ricardo Martin-Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu, Yuanzhen Li, Howard Zhou:
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations. CoRR abs/2306.09109 (2023) - [i21]Keunhong Park, Philipp Henzler, Ben Mildenhall, Jonathan T. Barron, Ricardo Martin-Brualla:
CamP: Camera Preconditioning for Neural Radiance Fields. CoRR abs/2308.10902 (2023) - 2022
- [j10]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) - [c18]Dejan Azinovic, Ricardo Martin-Brualla, Dan B. Goldman, Matthias Nießner, Justus Thies:
Neural RGB-D Surface Reconstruction. CVPR 2022: 6280-6291 - [c17]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 - [i20]Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi:
Novel View Synthesis with Diffusion Models. CoRR abs/2210.04628 (2022) - 2021
- [j9]Xuan Luo, Xuaner Cecilia Zhang, Paul Yoo, Ricardo Martin-Brualla, Jason Lawrence, Steven M. Seitz:
Time-travel rephotography. ACM Trans. Graph. 40(6): 213:1-213:12 (2021) - [j8]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) - [j7]Jason Lawrence, Dan B. Goldman, Supreeth Achar, Gregory Major Blascovich, Joseph G. Desloge, Tommy Fortes, Eric M. Gomez, Sascha Häberling, Hugues Hoppe, Andy Huibers, Claude Knaus, Brian Kuschak, Ricardo Martin-Brualla, Harris Nover, Andrew Ian Russell, Steven M. Seitz, Kevin Tong:
Project starline: a high-fidelity telepresence system. ACM Trans. Graph. 40(6): 242:1-242:16 (2021) - [c16]Christopher Xie, Keunhong Park, Ricardo Martin-Brualla, Matthew Brown:
FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling. 3DV 2021: 962-971 - [c15]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 - [c14]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 - [c13]Edward Zhang, Ricardo Martin-Brualla, Janne Kontkanen, Brian L. Curless:
No Shadow Left Behind: Removing Objects and Their Shadows Using Approximate Lighting and Geometry. CVPR 2021: 16397-16406 - [c12]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 - [c11]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 - [c10]Konstantinos Rematas, Ricardo Martin-Brualla, Vittorio Ferrari:
Sharf: Shape-conditioned Radiance Fields from a Single View. ICML 2021: 8948-8958 - [i19]Konstantinos Rematas, Ricardo Martin-Brualla, Vittorio Ferrari:
ShaRF: Shape-conditioned Radiance Fields from a Single View. CoRR abs/2102.08860 (2021) - [i18]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) - [i17]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) - [i16]Dejan Azinovic, Ricardo Martin-Brualla, Dan B. Goldman, Matthias Nießner, Justus Thies:
Neural RGB-D Surface Reconstruction. CoRR abs/2104.04532 (2021) - [i15]Christopher Xie, Keunhong Park, Ricardo Martin-Brualla, Matthew Brown:
FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling. CoRR abs/2104.08418 (2021) - [i14]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) - [i13]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) - [i12]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) - 2020
- [j6]Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason M. Saragih, Matthias Nießner, Rohit Pandey, Sean Ryan Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B. Goldman, Michael Zollhöfer:
State of the Art on Neural Rendering. Comput. Graph. Forum 39(2): 701-727 (2020) - [c9]Xuan Luo, Yanmeng Kong, Jason Lawrence, Ricardo Martin-Brualla, Steven M. Seitz:
KeystoneDepth: History in 3D. 3DV 2020: 463-472 - [c8]Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, Dan B. Goldman:
GeLaTO: Generative Latent Textured Objects. ECCV (6) 2020: 242-258 - [i11]Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason M. Saragih, Matthias Nießner, Rohit Pandey, Sean Ryan Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B. Goldman, Michael Zollhöfer:
State of the Art on Neural Rendering. CoRR abs/2004.03805 (2020) - [i10]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) - [i9]Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, Dan B. Goldman:
GeLaTO: Generative Latent Textured Objects. CoRR abs/2008.04852 (2020) - [i8]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) - [i7]Edward Zhang, Ricardo Martin-Brualla, Janne Kontkanen, Brian Curless:
No Shadow Left Behind: Removing Objects and their Shadows using Approximate Lighting and Geometry. CoRR abs/2012.10565 (2020) - [i6]Xuan Luo, Xuaner Zhang, Paul Yoo, Ricardo Martin-Brualla, Jason Lawrence, Steven M. Seitz:
Time-Travel Rephotography. CoRR abs/2012.12261 (2020)
2010 – 2019
- 2019
- [c7]Moustafa Meshry, Dan B. Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla:
Neural Rerendering in the Wild. CVPR 2019: 6878-6887 - [c6]Rohit Pandey, Anastasia Tkach, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Ricardo Martin-Brualla, Andrea Tagliasacchi, George Papandreou, Philip Davidson, Cem Keskin, Shahram Izadi, Sean Ryan Fanello:
Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning. CVPR 2019: 9709-9718 - [c5]Marc Comino Trinidad, Ricardo Martin-Brualla, Florian Kainz, Janne Kontkanen:
Multi-View Image Fusion. ICCV 2019: 4100-4109 - [i5]Moustafa Meshry, Dan B. Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla:
Neural Rerendering in the Wild. CoRR abs/1904.04290 (2019) - [i4]Rohit Pandey, Anastasia Tkach, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Ricardo Martin-Brualla, Andrea Tagliasacchi, George Papandreou, Philip Davidson, Cem Keskin, Shahram Izadi, Sean Ryan Fanello:
Volumetric Capture of Humans with a Single RGBD Camera via Semi-Parametric Learning. CoRR abs/1905.12162 (2019) - [i3]Xuan Luo, Yanmeng Kong, Jason Lawrence, Ricardo Martin-Brualla, Steven M. Seitz:
KeystoneDepth: Visualizing History in 3D. CoRR abs/1908.07732 (2019) - 2018
- [j5]Ricardo Martin-Brualla, Rohit Pandey, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Julien P. C. Valentin, Sameh Khamis, Philip Davidson, Anastasia Tkach, Peter Lincoln, Adarsh Kowdle, Christoph Rhemann, Dan B. Goldman, Cem Keskin, Steven M. Seitz, Shahram Izadi, Sean Ryan Fanello:
LookinGood: enhancing performance capture with real-time neural re-rendering. ACM Trans. Graph. 37(6): 255 (2018) - [i2]Ricardo Martin-Brualla, Rohit Pandey, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Julien P. C. Valentin, Sameh Khamis, Philip Davidson, Anastasia Tkach, Peter Lincoln, Adarsh Kowdle, Christoph Rhemann, Dan B. Goldman, Cem Keskin, Steven M. Seitz, Shahram Izadi, Sean Ryan Fanello:
LookinGood: Enhancing Performance Capture with Real-time Neural Re-Rendering. CoRR abs/1811.05029 (2018) - 2017
- [j4]Ricardo Martin-Brualla, David Gallup, Steven M. Seitz:
3D Time-Lapse Reconstruction from Internet Photos. Int. J. Comput. Vis. 125(1-3): 52-64 (2017) - 2016
- [b1]Ricardo Martin-Brualla:
Exploring the World's Visual History. University of Washington, USA, 2016 - 2015
- [j3]Ricardo Martin-Brualla, David Gallup, Steven M. Seitz:
Time-lapse mining from internet photos. ACM Trans. Graph. 34(4): 62:1-62:8 (2015) - [c4]Ricardo Martin-Brualla, David Gallup, Steven M. Seitz:
3D Time-Lapse Reconstruction from Internet Photos. ICCV 2015: 1332-1340 - [i1]Ricardo Martin-Brualla, David Gallup, Steven M. Seitz:
3D Time-lapse Reconstruction from Internet Photos. CoRR abs/1511.03019 (2015) - 2014
- [c3]Ricardo Martin-Brualla, Yanling He, Bryan C. Russell, Steven M. Seitz:
The 3D Jigsaw Puzzle: Mapping Large Indoor Spaces. ECCV (3) 2014: 1-16 - 2013
- [j2]Cha Zhang, Qin Cai, Philip A. Chou, Zhengyou Zhang, Ricardo Martin-Brualla:
Viewport: A Distributed, Immersive Teleconferencing System with Infrared Dot Pattern. IEEE Multim. 20(1): 17-27 (2013) - [j1]Bryan C. Russell, Ricardo Martin-Brualla, Daniel J. Butler, Steven M. Seitz, Luke Zettlemoyer:
3D Wikipedia: using online text to automatically label and navigate reconstructed geometry. ACM Trans. Graph. 32(6): 193:1-193:10 (2013) - 2010
- [c2]Ricardo Martin-Brualla, Enrique Alfonseca, Marius Pasca, Keith B. Hall, Enrique Robledo-Arnuncio, Massimiliano Ciaramita:
Instance Sense Induction from Attribute Sets. COLING (Posters) 2010: 819-827 - [c1]Marius Pasca, Enrique Alfonseca, Enrique Robledo-Arnuncio, Ricardo Martin-Brualla, Keith B. Hall:
The Role of Query Sessions in Extracting Instance Attributes from Web Search Queries. ECIR 2010: 62-74
Coauthor Index
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last updated on 2024-11-19 20:49 CET by the dblp team
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