3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow-Reference-Cited by-同舟云学术

3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow

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

Wen Xin¹,Zhou Junsheng¹,Liu Yu-Shen¹,Su Hua²,Dong Zhen³,Han Zhizhong⁴

Affiliation:

1. School of Software, BNRist, Tsinghua University,Beijing,China

2. Kuaishou Technology,Beijing,China

3. Wuhan University,Wuhan,China

4. Wayne State University,Department of Computer Science,Detroit,USA

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

IEEE

Link

Reference58 articles.

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5. PointNet++: Deep hierarchical feature learning on point sets in a metric space;qi;Conference on Neural Information Processing Systems,0

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