6 citations · 6 across the 2 of their papers we have counts for
5 papers
Structured Regularization of Functional Map Computations
Jing Ren, Mikhail Panine, Peter Wonka +1
We consider the problem of non-rigid shape matching using the functional map framework. Specifically, we analyze a commonly used approach for regularizing functional maps, which co…
MapTree: Recovering Multiple Solutions in the Space of Maps
Jing Ren, Simone Melzi, Maks Ovsjanikov +1
In this paper we propose an approach for computing multiple high-quality near-isometric dense correspondences between a pair of 3D shapes. Our method is fully automatic and does no…
MGCN: Descriptor Learning using Multiscale GCNs
Yiqun Wang, Jing Ren, Dong-Ming Yan +3
We propose a novel framework for computing descriptors for characterizing points on three-dimensional surfaces. First, we present a new non-learned feature that uses graph wavelets…
ZoomOut: Spectral Upsampling for Efficient Shape Correspondence
Simone Melzi, Jing Ren, Emanuele Rodolà +3
We present a simple and efficient method for refining maps or correspondences by iterative upsampling in the spectral domain that can be implemented in a few lines of code. Our mai…
Continuous and Orientation-preserving Correspondences via Functional Maps
Jing Ren, Adrien Poulenard, Peter Wonka +1
We propose a method for efficiently computing orientation-preserving and approximately continuous correspondences between non-rigid shapes, using the functional maps framework. We…