ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes-Reference-Cited by-同舟云学术

ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Sajnani Rahul¹,Poulenard Adrien²,Jain Jivitesh¹,Dua Radhika³,Guibas Leonidas J.²,Sridhar Srinath⁴

Affiliation:

1. IIIT-Hyderabad,RRC

2. Stanford University

3. KAIST

4. Brown University

Funder

AFOSR

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09878438.pdf?arnumber=9878438

Reference62 articles.

1. SHOT: Unique signatures of histograms for surface and texture description

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3. Pointnet: Deep learning on point sets for 3d classification and segmentation;qi;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2017

4. A functional approach to rotation equivariant non-linearities for Tensor Field Networks

5. DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation

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