معرفی
Damien Rohmer is a Professor of Computer Science at École Polytechnique, Institut Polytechnique de Paris, where he serves as Director of LIX (Computer Science Laboratory UMR CNRS 7161). He leads the VISTA research team and coordinates the Image, Vision and Learning specialization at École Polytechnique.
His research focuses on Computer Graphics, particularly 3D Modeling, Deformation, and Animation of virtual content, with emphasis on real-time, interactive, and user-controlled approaches. His work spans multiple application domains including entertainment (Animation Cinema, VFX, Video Games, AR/VR), Natural Sciences (Medical, Biology), and Design & Fabrication (Fashion, CAD, Architecture).
Rohmer's research can be organized into four main axes: Interactive Shape & Animation Design, Efficient Visual Simulation, Implicit Surfaces & Field-Based Modeling, and Character Animation and Deformation. His publications demonstrate consistent contributions to top-tier conferences including SIGGRAPH, Eurographics, SCA, and MIG.
His recent work shows trends toward more expressive character animation, real-time contact handling, and multi-agent systems. There's a clear progression from foundational techniques in sketch-based modeling to more complex systems addressing natural phenomena and character behavior in realistic environments.
- Best Paper Award, Honorable Mention, at Eurographics 2025
- Best Short Paper Award at MIG 2024
- Best Poster Award at MIG 2024
- Third place in the jFIG 2024 Best Paper Award
- Best Poster Award, Honorable Mention, at SCA 2024
- Best Presentation Award, Honorable Mention, at SCA 2024
Rohmer actively supervises PhD students with funding from ANR and CIFRE programs. He has developed several open-source libraries including CGP (Computer Graphics Programming library) and Velocity Skinning for real-time cartoon-like deformation. His teaching includes specialized courses in Computer Animation and 3D Graphics, with a commitment to open educational resources.
He leads the VISTA research team at LIX, focusing on interdisciplinary collaborations across computer science, medical sciences, mathematics, and design disciplines.
