Maks Ovsjanikov's website (original) (raw)

I am a professor in the Computer Science Department at École Polytechnique in France, and a Visiting Research Scientist at Google DeepMind. At École Polytechnique, I am a member of the GeomeriX team, and my research is currently supported by my ERC Consolidator Grant (VEGA). At DeepMind, I am involved in efforts related to video understanding.

My group's research focuses on developing mathematically principled approaches for geometric data analysis and synthesis. We tackle problems such as learning on surface meshes, 3D point clouds, and graphs; generative modeling of complex scenes; non-rigid shape matching; 3D reconstruction; and transfer learning, among others. A recurring theme in our work is learning structure-preserving maps and invariant operators across different domains. Beyond computer graphics and vision, I am also interested in using deep learning to address challenges in other scientific fields, and to facilitate scientific discovery. You can find some of my work on the Publications page.

Recent News

August 2025

Our paper MILo: Mesh-In-the-Loop Gaussian Splatting for Detailed and Efficient Surface Reconstruction with Antoine Guédon, Diego Gomez, Nissim Maruani, Bingchen Gong, and George Drettakis has been accepted at SIGGRAPH Asia (journal track).

June 2025

I'm happy to be part of four papers accepted at ICCV 2025:

I gave an invited talk at the CVPR 2025 workshop on Enforcing Inductive Bias in 3D Generation.

May 2025

April 2025

Our paper Finding antibodies in cryo-EM densities with CrAI with Vincent Mallet, Chiara Rapisarda and Hervé Minoux, which came out of our collaboration with Sanofi has been accepted in the Bioinformatics journal.

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