Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words-Reference-Cited by-同舟云学术

Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Tang Chuan¹,Yang Xi¹,Wu Bojian²,Han Zhizhong³,Chang Yi¹

Affiliation:

1. School of Artificial Intelligence, Jilin University,China

2. Zhejiang University

3. Wayne State University,The Department of Computer Science,USA

Funder

Young Scientists Fund

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204526.pdf?arnumber=10204526

Reference43 articles.

1. Multi-angle point cloud-vae:unsupervised feature learning for 3D point clouds from multiple angles by joint self-reconstruction and half-to-half prediction;han;Proc Int Conf on Computer Vision,0

2. Pointnet: Deep learning on point sets for 3d classification and segmentation;qi;Proc IEEE Conf on Computer Vision & Pattern Recognition,0

3. Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences

4. PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding

5. Render4Completion: Synthesizing Multi-View Depth Maps for 3D Shape Completion

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