Giulio Viganò

PhD @ University of Milano-Bicocca. Currently visiting LiX @ École Polytechnique

I am a PhD researcher in Computer Science at the University of Milano-Bicocca, working at the intersection of machine learning and geometry processing.

My research focuses on developing neural architectures to understand and model correspondences between 3D shapes. I am passionate about leveraging artificial intelligence to enhance computational reasoning in geometry. Currently, I am visiting LiX at École Polytechnique near Paris, where I explore how geometric reasoning can advance our understanding of neural architectures.

Previously, I earned a Master’s degree in Applied Mathematics from the University of Milan.

When I’m not working, you’ll find me at the bar discussing politics but also enjoying the essentials of Italian life: food and footbal.

Research Interests

  • Geometric Deep Learning
  • Spectral Geometry
  • Machine Learning

news

Nov 01, 2025 🇫🇷 I joined École Polytechnique as a Visiting PhD Student, working with Maks Ovsjanikov.
Sep 30, 2025 📚 We have released GeomFum, a new library for machine learning with Functional Maps! Check it out on https://github.com/3diglab/geomfum.
Aug 10, 2025 🎉 Our paper NAM: Neural Adjoint Maps for refining shape correspondences (with Maks Ovsjanikov and Simone Melzi) has been published in ACM Transactions on Graphics! Currently in Vancouver at SIGGRAPH 2025 presenting our work.

latest posts

selected publications

  1. nam.png
    NAM: Neural Adjoint Maps for Refining Shape Correspondences
    Giulio Viganò, Maks Ovsjanikov, and Simone Melzi
    ACM Transactions on Graphics (TOG), 2025
  2. bule.png
    Bijective Upsampling and Learned Embedding for Point Clouds Correspondences
    Giulio Viganò and Simone Melzi
    In Computers & Graphics, 2024