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Deep graph-based spatial consistency for robust non-rigid point cloud registration
We study the problem of outlier correspondence pruning for non-rigid point cloud
registration. In rigid registration, spatial consistency has been a commonly used criterion to …
registration. In rigid registration, spatial consistency has been a commonly used criterion to …
Spatially and spectrally consistent deep functional maps
Cycle consistency has long been exploited as a powerful prior for jointly optimizing maps
within a collection of shapes. In this paper, we investigate its utility in the approaches of …
within a collection of shapes. In this paper, we investigate its utility in the approaches of …
Spectral meets spatial: Harmonising 3d shape matching and interpolation
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 …
separately and applied sequentially to relate different 3D shapes thus resulting in sub …
Smooth non-rigid shape matching via effective dirichlet energy optimization
We introduce pointwise map smoothness via the Dirich-let energy into the functional map
pipeline, and propose an algorithm for optimizing it efficiently, which leads to highquality …
pipeline, and propose an algorithm for optimizing it efficiently, which leads to highquality …
Robust zero level-set extraction from unsigned distance fields based on double covering
In this paper, we propose a new method, called DoubleCoverUDF, for extracting the zero
level-set from unsigned distance fields (UDFs). DoubleCoverUDF takes a learned UDF and …
level-set from unsigned distance fields (UDFs). DoubleCoverUDF takes a learned UDF and …
Generalizing neural human fitting to unseen poses with articulated se (3) equivariance
We address the problem of fitting a parametric human body model (SMPL) to point cloud
data. Optimization based methods require careful initialization and are prone to becoming …
data. Optimization based methods require careful initialization and are prone to becoming …
Spidermatch: 3d shape matching with global optimality and geometric consistency
Finding shortest paths on product spaces is a popular approach to tackle numerous variants
of matching problems including the dynamic time war** method for matching signals the …
of matching problems including the dynamic time war** method for matching signals the …
Memory-scalable and simplified functional map learning
Deep functional maps have emerged in recent years as a prominent learning-based
framework for non-rigid shape matching problems. While early methods in this domain only …
framework for non-rigid shape matching problems. While early methods in this domain only …
Ccuantumm: Cycle-consistent quantum-hybrid matching of multiple shapes
Jointly matching multiple, non-rigidly deformed 3D shapes is a challenging, NP-hard
problem. A perfect matching is necessarily cycle-consistent: Following the pairwise point …
problem. A perfect matching is necessarily cycle-consistent: Following the pairwise point …
Correspondence-free non-rigid point set registration using unsupervised clustering analysis
This paper presents a novel non-rigid point set registration method that is inspired by
unsupervised clustering analysis. Unlike previous approaches that treat the source and …
unsupervised clustering analysis. Unlike previous approaches that treat the source and …