We present NeuroMorph, a new neural network architecture that takes as input two 3D
shapes and produces in one go, ie in a single feed forward pass, a smooth interpolation and …

Although 3D shape matching and interpolation are highly interrelated they are often studied
separately and applied sequentially to relate different 3D shapes thus resulting in sub …

Shape correspondence is an important and challenging problem in geometry processing.
Generalized map representations, such as functional maps, have been recently suggested …

Shape is an important physical property of natural and manmade 3D objects that
characterizes their external appearances. Understanding differences between shapes and …

An increasingly common viewpoint is that protein dynamics datasets reside in a nonlinear
subspace of low conformational energy. Ideal data analysis tools should therefore account …

We propose a technique for interpolating between probability distributions on discrete
surfaces, based on the theory of optimal transport. Unlike previous attempts that use linear …

In recent years, the As-Rigid-As-Possible (ARAP) shape deformation and shape
interpolation techniques gained popularity, and the ARAP energy was successfully used in …

Information transfer between triangle meshes is of great importance in computer graphics
and geometry processing. To facilitate this process, a smooth and accurate map is typically …

This paper develops a shape space framework for collision-aware geometric modeling,
where basic geometric operations automatically avoid inter-penetration. Shape spaces are a …

This paper presents a new preconditioning technique for large‐scale geometric optimization
problems, inspired by applications in mesh parameterization. Our positive (semi‐) definite …