ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-Based Consistency-Reference-Cited by-同舟云学术

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ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-Based Consistency

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

Huang Zixuan¹,Jampani Varun²,Thai Anh¹,Li Yuanzhen²,Stojanov Stefan¹,Rehg James M.¹

Affiliation:

1. Georgia Institute of Technology

2. Google Research

Funder

NIH

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204447.pdf?arnumber=10204447

Reference57 articles.

1. Learning Single-Image 3D Reconstruction by Generative Modelling of Shape, Pose and Shading

2. Monocular 3d object reconstruction with gan inversion;zhang;European Conference on Computer Vision,0

3. Deep Residual Learning for Image Recognition

4. Monosdf: Exploring monocular geometric cues for neural implicit surface reconstruction;yu;ArXiv Preprint,2022

5. Planes vs;huang;European Conference on Computer Vision,0

Cited by 3 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. Self-supervised single-view 3D point cloud reconstruction through GAN inversion;The Journal of Supercomputing;2024-06-08

2. Deep Learning for 3D Reconstruction, Augmentation, and Registration: A Review Paper;Entropy;2024-03-07

3. 3DCascade-GAN: Shape completion from single-view depth images;Computers & Graphics;2023-10

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