Maks Ovsjanikov

I am a professor in the Computer Science department at Ecole Polytechnique in France, and a Visiting Researcher at Google DeepMind. At Ecole Polytechnique, I am a member of the GeomeriX team. My current research is supported by my ERC Consolidator Grant: VEGA.

My work is primarily related to geometric (3D) shape analysis with emphasis on Deep Learning for non-rigid shape comparison and processing. In the past, I have worked on a range of topics including shape classification and retrieval, non-rigid shape-matching, comparison, denoising and symmetry detection especially on 3D point cloud and triangle mesh data. I'm also very interested in Computer Graphics and Computer Vision in general, as well as applications of Deep Learning for scientific discovery. You can find some of my work on the Publications page.

Recent News

November 2024

October 2024

    Souhaib Attaiki a student from our group, just defended his PhD dissertation entitled Robust Deep Learning-based Methods for Non-Rigid Shape Correspondence. Congratulations to Souhaib!

    Our paper GANFusion: Feed-Forward Text-to-3D with Diffusion in GAN Space with Souhaib Attaiki, Paul Guerrero, Duygu Ceylan and Niloy Mitra has been accepted at WACV 2025.

    I'm happy and honored to join Google DeepMind as a Visiting Research Scientist.

    Qixing Huang from UT Austin is visiting our group for 3 weeks, as part of his sabbatical.

September 2024

    Our paper DeBaRA: Denoising-Based 3D Room Arrangement Generation with Léopold Maillard, Nicolas Sereyjol-Garros, and Tom Durand, was accepted at NeurIPS 2024.

    Our paper Deformation Recovery: Localized Learning for Detail-Preserving Deformations with Ramana Sundararaman, Nicolas Donati, Simone Melzi and Etienne Corman was accepted at SIGGRAPH Asia 2024 (Journal Track).

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