معرفی
Riccardo Marin is a Postdoctoral Researcher at the Computer Vision Group, Technical University of Munich (TUM), where he conducts advanced research in geometric deep learning and 3D shape analysis. He is affiliated with the Department of Computer Science within the College of Engineering.
His research focuses on Spectral Shape Analysis, Shape Matching, Geometric Deep Learning, and Virtual Humans. He develops novel methods for 3D human modeling, registration, and generative modeling using neural fields and diffusion techniques.
Recent publications highlight his work in creating realistic 3D avatars from single images, scalable neural registration pipelines, and continuous surface representations for deformable human modeling. His research bridges computer vision, machine learning, and computer graphics.
- ELLIS Member
- Alexander von Humboldt Foundation Alumni
- Marie Skłodowska-Curie Alumni
Riccardo Marin has been supported by prestigious fellowships and research networks. He contributes to open science through public repositories and code releases. He is actively involved in developing cutting-edge tools for spectral shape analysis and 3D human modeling, with applications in virtual reality, animation, and human-computer interaction.
He is associated with research projects and software including FARM (Functional Automatic Registration Method), NICP (Neural ICP), NSF (Neural Surface Fields), and Diff-FMAPs, indicating strong technical and algorithmic contributions in the field of 3D geometry and deep learning.
