Mark Matthews

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Dmitry LagunGoogle DeepMindVerified email at google.com
Andrea TagliasacchiAssociate Prof, SFU; Research Scientist, Google DeepMindVerified email at google.com
Daniel RebainUniversity of British ColumbiaVerified email at cs.ubc.ca
Przemyslaw PrusinkiewiczProfessor of Computer Science, University of CalgaryVerified email at ucalgary.ca
Kwang Moo YiAssistant Professor of Computer Science at the University of British Columbia, Haiper AIVerified email at cs.ubc.ca
Gordon WetzsteinStanford UniversityVerified email at stanford.edu
Axel LevyStanford UniversityVerified email at stanford.edu
Matan SelaGoogleVerified email at google.com
David J FleetGoogle DeepMind; University of Toronto; Vector InstituteVerified email at cs.toronto.edu
Alec JacobsonUniversity of Toronto, Adobe ResearchVerified email at cs.toronto.edu
Sara SabourBrain, GoogleVerified email at google.com
Lily GoliUniversity of Toronto, Google ResearchVerified email at mail.utoronto.ca
Milad HashemiGoogleVerified email at google.com
Kevin SwerskyGoogle BrainVerified email at cs.toronto.edu
Cristina VasconcelosGoogle DeepMindVerified email at google.com
Yuanzhen LiGoogleVerified email at csail.mit.edu
Fredo DurandProfessor of Computer Science, MITVerified email at mit.edu
William T. FreemanProfessor of Computer Science, MITVerified email at mit.edu
Varun JampaniVice President of Research, Stability AIVerified email at stability.ai
Xuhui JiaGoogle ResearchVerified email at google.com

Mark Matthews

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computer graphics machine learning computer vision neural radiance fields volume rendering


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The genetics of geometry E Coen, AG Rolland-Lagan, M Matthews, JA Bangham, P Prusinkiewicz Proceedings of the National Academy of Sciences 101 (14), 4728-4735, 2004	328	2004
LOLNeRF: Learn from one look D Rebain, M Matthews, KM Yi, D Lagun, A Tagliasacchi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	111	2022
Attention beats concatenation for conditioning neural fields D Rebain, MJ Matthews, KM Yi, G Sharma, D Lagun, A Tagliasacchi arXiv preprint arXiv:2209.10684, 2022	26	2022
Alchemist: Parametric control of material properties with diffusion models P Sharma, V Jampani, Y Li, X Jia, D Lagun, F Durand, B Freeman, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024	13	2024
Spotlesssplats: Ignoring distractors in 3d gaussian splatting S Sabour, L Goli, G Kopanas, M Matthews, D Lagun, L Guibas, ... arXiv preprint arXiv:2406.20055, 2024	9	2024
MELON: NeRF with Unposed Images in SO (3) A Levy, M Matthews, M Sela, G Wetzstein, D Lagun 2024 International Conference on 3D Vision (3DV), 354-364, 2024	9*	2024
CUF: Continuous upsampling filters CN Vasconcelos, C Oztireli, M Matthews, M Hashemi, K Swersky, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	8	2023
3000+ variations of the Voronoi diagram S Raghavachary, M Matthews ACM SIGGRAPH 2007 posters, 136-es, 2007	1	2007
RoMo: Robust Motion Segmentation Improves Structure from Motion L Goli, S Sabour, M Matthews, M Brubaker, D Lagun, A Jacobson, ... arXiv preprint arXiv:2411.18650, 2024		2024
Neural Radiance Field Generative Modeling of Object Classes from Single Two-Dimensional Views MJ Matthews, DJ Rebain, D Lagun, A Tagliasacchi US Patent App. 18/688,278, 2024		2024
Image super-resolution neural networks CN Vasconcelos, AC Oztireli, A Tagliasacchi, KJ Swersky, MJ Matthews, ... US Patent App. 18/379,519, 2024		2024
MagicMirror: Fast and High-Quality Avatar Generation with a Constrained Search Space A Comas-Massagué, D Qiu, M Chai, M Bühler, A Raj, R Gao, Q Xu, ... arXiv preprint arXiv:2404.01296, 2024		2024
Compressing data representing computer animated hair M Matthews US Patent US20140270561A1, 2015		2015
Amorphous: An OpenGL Sparse Volume Renderer M Matthews SIGGRAPH Talks, 2012		2012

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