Riccardo Marin

Riccardo Marin is a Postdoctoral Researcher at the Technical University of Munich (TUM), affiliated with the School of Computation, Information and Technology and the Computer Vision Group. His research focuses on Spectral Shape Analysis, 3D Shape Matching, Geometric Deep Learning, and Virtual Humans.

• PhD from University of Verona
• Postdoctoral experience at GLADIA (Sapienza University of Rome) and Tuebingen University's AI Center

His work bridges geometric modeling and deep learning, with notable contributions to neural surface fields, diffusion-based avatar creation, and scalable 3D human registration. He has authored publications in top venues like CVPR, ECCV, and NeurIPS, with a focus on geometric consistency and implicit representations in 3D vision.

Scientific awards:

• Humboldt Research Fellowship
• Marie-Curie Postdoctoral Fellowship
• ELLIS Membership

His research often involves collaboration with institutions such as MPI-INF and Tuebingen AI Center, with GitHub repositories like NICP, Diff-FMAPs-PyTorch, and FARM demonstrating his technical contributions in spectral analysis and 3D reconstruction.