Ricardo Martin-Brualla

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 52

Top Topics

High Dynamic Range

Photo Collections

Multiscale Representation

Diffusion Models

Top Venues

ACM Trans. Graph.

Publications

Arjun Karpur, Guilherme Perrotta, Ricardo Martin-Brualla, Howard Zhou, André Araújo
LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals. 3DV (2024)
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 (2024)
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)
Xiaoming Zhao, Pratul P. Srinivasan, Dor Verbin, Keunhong Park, Ricardo Martin-Brualla, Philipp Henzler
IllumiNeRF: 3D Relighting without Inverse Rendering. CoRR (2024)
Arjun Karpur, Guilherme Perrotta, Ricardo Martin-Brualla, Howard Zhou, Andre Araujo
LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals. CoRR (2023)
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)
Mikaela Angelina Uy, Ricardo Martin-Brualla, Leonidas J. Guibas, Ke Li
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates. CVPR (2023)
Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi
Novel View Synthesis with Diffusion Models. ICLR (2023)
Keunhong Park, Philipp Henzler, Ben Mildenhall, Jonathan T. Barron, Ricardo Martin-Brualla
CamP: Camera Preconditioning for Neural Radiance Fields. 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)
Varun Jampani, Kevis-Kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, André Araujo, 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 (2023)
Mikaela Angelina Uy, Ricardo Martin-Brualla, Leonidas J. Guibas, Ke Li
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates. 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)
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)
Dejan Azinovic, Ricardo Martin-Brualla, Dan B. Goldman, Matthias Nießner, Justus Thies
Neural RGB-D Surface Reconstruction. CVPR (2022)
Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi
Novel View Synthesis with Diffusion Models. CoRR (2022)
Christopher Xie, Keunhong Park, Ricardo Martin-Brualla, Matthew Brown
FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling. 3DV (2021)
Konstantinos Rematas, Ricardo Martin-Brualla, Vittorio Ferrari
ShaRF: Shape-conditioned Radiance Fields from a Single View. 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)
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)
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) (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)
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)
Christopher Xie, Keunhong Park, Ricardo Martin-Brualla, Matthew Brown
FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling. CoRR (2021)
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)
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)
Konstantinos Rematas, Ricardo Martin-Brualla, Vittorio Ferrari
Sharf: Shape-conditioned Radiance Fields from a Single View. ICML (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)
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)
Dejan Azinovic, Ricardo Martin-Brualla, Dan B. Goldman, Matthias Nießner, Justus Thies
Neural RGB-D Surface Reconstruction. 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. CoRR (2021)
Xuan Luo, Xuaner Cecilia Zhang, Paul Yoo, Ricardo Martin-Brualla, Jason Lawrence, Steven M. Seitz
Time-travel rephotography. ACM Trans. Graph. 40 (6) (2021)
Xuan Luo, Xuaner Zhang, Paul Yoo, Ricardo Martin-Brualla, Jason Lawrence, Steven M. Seitz
Time-Travel Rephotography. CoRR (2020)
Edward Zhang, Ricardo Martin-Brualla, Janne Kontkanen, Brian Curless
No Shadow Left Behind: Removing Objects and their Shadows using Approximate Lighting and Geometry. CoRR (2020)
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) (2020)
Xuan Luo, Yanmeng Kong, Jason Lawrence, Ricardo Martin-Brualla, Steven M. Seitz
KeystoneDepth: History in 3D. 3DV (2020)
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 (2020)
Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, Dan B. Goldman
GeLaTO: Generative Latent Textured Objects. CoRR (2020)
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 (2020)
Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, Dan B. Goldman
GeLaTO: Generative Latent Textured Objects. ECCV (6) (2020)
Keunhong Park, Utkarsh Sinha, Jonathan T. Barron, Sofien Bouaziz, Dan B. Goldman, Steven M. Seitz, Ricardo Martin-Brualla
Deformable Neural Radiance Fields. CoRR (2020)
Marc Comino Trinidad, Ricardo Martin-Brualla, Florian Kainz, Janne Kontkanen
Multi-View Image Fusion. ICCV (2019)
Rohit Pandey, Anastasia Tkach, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Ricardo Martin-Brualla, Andrea Tagliasacchi, George Papandreou, Philip L. Davidson, Cem Keskin, Shahram Izadi, Sean Ryan Fanello
Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning. CVPR (2019)
Moustafa Meshry, Dan B. Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla
Neural Rerendering in the Wild. CoRR (2019)
Xuan Luo, Yanmeng Kong, Jason Lawrence, Ricardo Martin-Brualla, Steven M. Seitz
KeystoneDepth: Visualizing History in 3D. CoRR (2019)
Moustafa Meshry, Dan B. Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla
Neural Rerendering in the Wild. CVPR (2019)
Rohit Pandey, Anastasia Tkach, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Ricardo Martin-Brualla, Andrea Tagliasacchi, George Papandreou, Philip L. Davidson, Cem Keskin, Shahram Izadi, Sean Ryan Fanello
Volumetric Capture of Humans with a Single RGBD Camera via Semi-Parametric Learning. CoRR (2019)
Ricardo Martin-Brualla, Rohit Pandey, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Julien P. C. Valentin, Sameh Khamis, Philip L. 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 (2018)
Ricardo Martin-Brualla, Rohit Pandey, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Julien P. C. Valentin, Sameh Khamis, Philip L. Davidson, Anastasia Tkach, Peter Lincoln, Adarsh Kowdle, Christoph Rhemann, Dan B. Goldman, Cem Keskin, Steven M. Seitz, Shahram Izadi, Sean Ryan Fanello
: enhancing performance capture with real-time neural re-rendering. ACM Trans. Graph. 37 (6) (2018)
Ricardo Martin-Brualla, David Gallup, Steven M. Seitz
3D Time-Lapse Reconstruction from Internet Photos. Int. J. Comput. Vis. 125 (1-3) (2017)
Ricardo Martin-Brualla, David Gallup, Steven M. Seitz
3D Time-Lapse Reconstruction from Internet Photos. ICCV (2015)
Ricardo Martin-Brualla, David Gallup, Steven M. Seitz
3D Time-lapse Reconstruction from Internet Photos. CoRR (2015)
Ricardo Martin-Brualla, David Gallup, Steven M. Seitz
Time-lapse mining from internet photos. ACM Trans. Graph. 34 (4) (2015)
Ricardo Martin-Brualla, Yanling He, Bryan C. Russell, Steven M. Seitz
The 3D Jigsaw Puzzle: Mapping Large Indoor Spaces. ECCV (3) (2014)
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) (2013)
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) (2013)
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)
Ricardo Martin-Brualla, Enrique Alfonseca, Marius Pasca, Keith B. Hall, Enrique Robledo-Arnuncio, Massimiliano Ciaramita
Instance Sense Induction from Attribute Sets. COLING (Posters) (2010)