SE-ORNet: Self-Ensembling Orientation-Aware Network for Unsupervised Point Cloud Shape Correspondence
Author:
Affiliation:
1. University of Science and Technology of China
2. China Academy of Space Technology
3. Deep Space Exploration Lab
Funder
National Defense Basic Scientific Research program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204782.pdf?arnumber=10204782
Reference35 articles.
1. Pointcnn: Convolution on x-transformed points;li;Advances in neural information processing systems,0
2. 3D Menagerie: Modeling the 3D Shape and Pose of Animals
3. DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction
4. Adaptive Graph Convolution for Point Cloud Analysis
5. Learning Spectral Descriptors for Deformable Shape Correspondence
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