UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps

Author:

Meltzer Peter1,Shayani Hooman1,Khasahmadi Amir1,Jayaraman Pradeep Kumar2,Sanghi Aditya1,Lambourne Joseph1

Affiliation:

1. Autodesk AI Lab

2. Autodesk Research

Publisher

IEEE

Reference38 articles.

1. 3D ShapeNets: A deep representation for volumetric shapes;wu;2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2015

2. Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis

3. Multi-view Convolutional Neural Networks for 3D Shape Recognition

4. 3DSNet: Unsupervised Shape-to-Shape 3D Style Transfer;segu;ArXiv,2020

5. Point-Net++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space;qi;Advances in neural information processing systems,2017

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Brep2Seq: a dataset and hierarchical deep learning network for reconstruction and generation of computer-aided design models;Journal of Computational Design and Engineering;2023-12-28

2. BRep-BERT: Pre-training Boundary Representation BERT with Sub-graph Node Contrastive Learning;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

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