Geometry processing - the acquisition, reconstruction, and manipulation of geometry - is a vibrant research area with novel mathematical models and an increasing impact of machine learning tools. The challenges in these developments include the sheer size of data sets due to advancing acquisition technologies, robustness in the presence of noise and damaged data, the arbitrary topology of surface meshes, as well as the development of structure-preserving discrete algorithms.
Lecture series by:
- Justin Solomon (Massachusetts Institute of Technology)
- Convex Models for Machine Learning, Graphics, and Geometry Processing
- Gabriele Steidl (TU Berlin)
- Flows in Measure Spaces and Generative Modelling
- Niloy Mitra (University College London)
- Neural Surfaces: Analyzing Geometric Surfaces Encoded as Neural Networks
- Maks Ovsjanikov (École Polytechnique)
- Neural Network Architectures on non-Euclidean Spaces
The special topics school will combine 4 times 3 lectures delivered by the lecturers, interactive practical sessions, and ample time for discussions and exchange between participants. It will foster interaction at the interface between mathematical analysis, numerics, vision and graphics.
The deadline for the application for participation is January 11th, 2026.
Our Global Mobility Fellowships provide participation opportunities for selected researchers and PhD students from countries of the Global South in the Special Topic Schools of the Hausdorff School for Mathematics. For more information, please visit our website.
Scientific Organizers:
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- Martin Rumpf (University of Bonn)
- Peter Schröder (University of Bonn, California Institute of Technology)