DocReal: Robust Document Dewarping of Real-Life Images via Attention-Enhanced Control Point Prediction-Reference-Cited by-同舟云学术

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DocReal: Robust Document Dewarping of Real-Life Images via Attention-Enhanced Control Point Prediction

Published:2024-01-03 Issue: Volume:10 Page:654-663
ISSN:
Container-title:2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
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Author:

Yu Fangchen¹,Xie Yina²,Wu Lei²,Wen Yafei²,Wang Guozhi²,Ren Shuai²,Chen Xiaoxin²,Mao Jianfeng¹,Li Wenye¹

Affiliation:

1. The Chinese University of Hong Kong,Shenzhen,China

2. Vivo AI Lab,Shenzhen,China

Funder

Shenzhen Research Institute of Big Data

National Natural Science Foundation of China

Chinese University of Hong Kong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10483279/10483282/10484027.pdf?arnumber=10484027

Reference38 articles.

1. Linear Interpolation Revitalized

2. Document restoration using 3D shape: a general deskewing algorithm for arbitrarily warped documents

3. Image restoration of arbitrarily warped documents

4. Geometric and shading correction for images of printed materials using boundary

5. DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks

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