activity
20182024
most citedMapTree: Recovering Multiple Solutions in the Space of Maps

6 citations · 8 across the 3 of their papers we have counts for

collaborators
Showing cs.GRShow all

6 papers · 1 filter

cs.GR2021★ 2 cited

Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis

Jing Ren, Biao Zhang, Bojian Wu +4

We propose a novel and flexible roof modeling approach that can be used for constructing planar 3D polygon roof meshes. Our method uses a graph structure to encode roof topology an…

cs.GR2020

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…

cs.GR2020★ 6 cited

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…

cs.GR2020

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…

cs.GR2019

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…

cs.GR2018

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…