Dynamic Image Deblurring based on Crosshatch Attention Adversarial Network and Hybrid Loss-Reference-Cited by-同舟云学术

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Dynamic Image Deblurring based on Crosshatch Attention Adversarial Network and Hybrid Loss

Published:2024-02-19 Issue: Volume:27 Page:1-8
ISSN:
Container-title:2024 5th International Conference on Advancements in Computational Sciences (ICACS)
language:
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Author:

Aslam Ummama¹,Shaukat Arslan¹,Azam Basim²

Affiliation:

1. National University of Sciences and Technology (NUST),College of Electrical and Mechanical Engineering (CEME),Dept. of Computer and Software Engineering,Islamabad,Pakistan,H-12

2. Institute of Integrated and Intelligent Systems Griffith University,Brisbane,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10473181/10473230/10473271.pdf?arnumber=10473271

Reference45 articles.

1. Facial Deblur Inference Using Subspace Analysis for Recognition of Blurred Faces

2. Generating Underwater Images by GANs and Similarity Measurement

3. DDcGAN: A Dual-Discriminator Conditional Generative Adversarial Network for Multi-Resolution Image Fusion

4. 3D visual perception for self-driving cars using a multi-camera system: Calibration, mapping, localization, and obstacle detection

5. Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring

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