Important new developments have appeared since the most recent direct survey on shape
correspondence published almost a decade ago. Our survey covers the period from 2011 …

We propose a method to create plausible geometric and texture style variations of 3D
objects in the quest to democratize 3D content creation. Given a pair of textured source and …

We propose a novel learning-based approach for robust 3D shape matching. Our method
builds upon deep functional maps and can be trained in a fully unsupervised manner …

Multilayer-perceptrons (MLP) are known to struggle learning functions of high-frequencies,
and in particular, instances of wide frequency bands. We present a progressive mapping …

We propose a novel 3D shape correspondence method based on the iterative alignment of
so-called smooth shells. Smooth shells define a series of coarse-to-fine shape …

We propose a novel mixed-integer programming (MIP) formulation for generating precise
sparse correspondences for highly non-rigid shapes. To this end, we introduce a projected …

Estimating correspondence between two shapes continues to be a challenging problem in
geometry processing. Most current methods assume deformation to be near-isometric …

Abstract We present Shape Non-rigid Kinematics (SNK), a novel zero-shot method for non-
rigid shape matching that eliminates the need for extensive training or ground truth data …

We present a scalable combinatorial algorithm for globally optimizing over the space of
geometrically consistent mappings between 3D shapes. We use the mathematically elegant …

We present a new method to compute continuous and bijective maps (surface
homeomorphisms) between two or more genus‐0 triangle meshes. In contrast to previous …