Ricardo Martin-Brualla

According to our database, Ricardo Martin-Brualla authored at least 38 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild.

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

CoRR, 2024

2023

CamP: Camera Preconditioning for Neural Radiance Fields.

Keunhong Park, Philipp Henzler, Ben Mildenhall, Jonathan T. Barron, Ricardo Martin-Brualla

ACM Trans. Graph., December, 2023

LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals.

Arjun Karpur, Guilherme Perrotta, Ricardo Martin-Brualla, Howard Zhou, André Araújo

CoRR, 2023

NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Novel View Synthesis with Diffusion Models.

Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates.

Mikaela Angelina Uy, Ricardo Martin-Brualla, Leonidas J. Guibas, Ke Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Robust and Efficient Edge-guided Pose Estimation with Resolution-conditioned NeRF.

Liesbeth Claessens, Fabian Manhardt, Ricardo Martin-Brualla, Roland Siegwart, Cesar Dario Cadena Lerma, Federico Tombari

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Advances in Neural Rendering.

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

Comput. Graph. Forum, 2022

NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images.

Ben Mildenhall, Peter Hedman, Ricardo Martin-Brualla, Pratul P. Srinivasan, Jonathan T. Barron

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Neural RGB-D Surface Reconstruction.

Dejan Azinovic, Ricardo Martin-Brualla, Dan B. Goldman, Matthias Nießner, Justus Thies

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

HyperNeRF: a higher-dimensional representation for topologically varying neural radiance fields.

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

ACM Trans. Graph., 2021

Time-travel rephotography.

Xuan Luo, Xuaner Cecilia Zhang, Paul Yoo, Ricardo Martin-Brualla, Jason Lawrence, Steven M. Seitz

ACM Trans. Graph., 2021

Project starline: a high-fidelity telepresence system.

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

ACM Trans. Graph., 2021

Sharf: Shape-conditioned Radiance Fields from a Single View.

Konstantinos Rematas, Ricardo Martin-Brualla, Vittorio Ferrari

Proceedings of the 38th International Conference on Machine Learning, 2021

Nerfies: Deformable Neural Radiance Fields.

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

No Shadow Left Behind: Removing Objects and Their Shadows Using Approximate Lighting and Geometry.

Edward Zhang, Ricardo Martin-Brualla, Janne Kontkanen, Brian L. Curless

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

IBRNet: Learning Multi-View Image-Based Rendering.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling.

Christopher Xie, Keunhong Park, Ricardo Martin-Brualla, Matthew Brown

Proceedings of the International Conference on 3D Vision, 2021

2020

Deformable Neural Radiance Fields.

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

CoRR, 2020

State of the Art on Neural Rendering.

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

Comput. Graph. Forum, 2020

GeLaTO: Generative Latent Textured Objects.

Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, Dan B. Goldman

Proceedings of the Computer Vision - ECCV 2020, 2020

KeystoneDepth: History in 3D.

Xuan Luo, Yanmeng Kong, Jason Lawrence, Ricardo Martin-Brualla, Steven M. Seitz

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

KeystoneDepth: Visualizing History in 3D.

Xuan Luo, Yanmeng Kong, Jason Lawrence, Ricardo Martin-Brualla, Steven M. Seitz

CoRR, 2019

Multi-View Image Fusion.

Marc Comino Trinidad, Ricardo Martin-Brualla, Florian Kainz, Janne Kontkanen

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Neural Rerendering in the Wild.

Moustafa Meshry, Dan B. Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

<i>LookinGood</i>: enhancing performance capture with real-time neural re-rendering.

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

ACM Trans. Graph., 2018

LookinGood: Enhancing Performance Capture with Real-time Neural Re-Rendering.

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

CoRR, 2018

2017

3D Time-Lapse Reconstruction from Internet Photos.

Ricardo Martin-Brualla, David Gallup, Steven M. Seitz

Int. J. Comput. Vis., 2017

2016

Exploring the World's Visual History.

Ricardo Martin-Brualla

PhD thesis, 2016

2015

Time-lapse mining from internet photos.

Ricardo Martin-Brualla, David Gallup, Steven M. Seitz

ACM Trans. Graph., 2015

2014

The 3D Jigsaw Puzzle: Mapping Large Indoor Spaces.

Ricardo Martin-Brualla, Yanling He, Bryan C. Russell, Steven M. Seitz

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

3D Wikipedia: using online text to automatically label and navigate reconstructed geometry.

Bryan C. Russell, Ricardo Martin-Brualla, Daniel J. Butler, Steven M. Seitz, Luke Zettlemoyer

ACM Trans. Graph., 2013

Viewport: A Distributed, Immersive Teleconferencing System with Infrared Dot Pattern.

Cha Zhang, Qin Cai, Philip A. Chou, Zhengyou Zhang, Ricardo Martin-Brualla

IEEE Multim., 2013

2010

The Role of Query Sessions in Extracting Instance Attributes from Web Search Queries.

Marius Pasca, Enrique Alfonseca, Enrique Robledo-Arnuncio, Ricardo Martin-Brualla, Keith B. Hall

Proceedings of the Advances in Information Retrieval, 2010

Instance Sense Induction from Attribute Sets.

Ricardo Martin-Brualla, Enrique Alfonseca, Marius Pasca, Keith B. Hall, Enrique Robledo-Arnuncio, Massimiliano Ciaramita

Proceedings of the COLING 2010, 2010