research
∙
09/10/2023
Geometrically Consistent Partial Shape Matching
Finding correspondences between 3D shapes is a crucial problem in comput...
share
research
∙
08/16/2023
SIGMA: Scale-Invariant Global Sparse Shape Matching
We propose a novel mixed-integer programming (MIP) formulation for gener...
research
∙
12/06/2022
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors
We present G-MSM (Graph-based Multi-Shape Matching), a novel unsupervise...
research
∙
05/13/2022
A Unified Framework for Implicit Sinkhorn Differentiation
The Sinkhorn operator has recently experienced a surge of popularity in ...
research
∙
04/21/2022
Implicit Shape Completion via Adversarial Shape Priors
We present a novel neural implicit shape method for partial point cloud ...
research
∙
03/23/2022
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation
Earth observation is a fundamental tool for monitoring the evolution of ...
research
∙
06/17/2021
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go
We present NeuroMorph, a new neural network architecture that takes as i...
research
∙
10/28/2020
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport
We propose a novel unsupervised learning approach to 3D shape correspond...
research
∙
04/10/2020
Hamiltonian Dynamics for Real-World Shape Interpolation
We revisit the classical problem of 3D shape interpolation and propose a...
research
∙
05/29/2019
Smooth Shells: Multi-Scale Shape Registration with Functional Maps
We propose a novel 3D shape correspondence method based on the iterative...
research
∙
06/27/2018
Divergence-Free Shape Interpolation and Correspondence
We present a novel method to model and calculate deformation fields betw...
research
∙
04/30/2018
