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MACGAN: An All-in-One Image Restoration under Adverse Conditions Using Multidomain Attention-Based Conditional GAN
Maria Siddiqua
,
Samir Brahim Belhaouari
*
, Naeem Akhter
, Aneela Zameer
, Javaid Khurshid
*
Corresponding author for this work
CSE Information & Computing Technology
Pakistan Institute of Engineering and Applied Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
13
Citations (Scopus)
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Dive into the research topics of 'MACGAN: An All-in-One Image Restoration under Adverse Conditions Using Multidomain Attention-Based Conditional GAN'. Together they form a unique fingerprint.
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Keyphrases
Conditional GAN
100%
Attention Block
33%
Scene Visibility
22%
Aerial Navigation
22%
Ground-based Navigation
22%
Marine Navigation
22%
Removal Model
22%
Navigation Performance
11%
Separation Model
11%
Art Image
11%
Blue-green
11%
Multiple Attention
11%
Underwater Image
11%
Visibility Restoration
11%
Restorative Quality
11%
Image Domain
11%
Haze-fog
11%
Restoration Process
11%
Smog
11%
Visibility Improvement
11%
Adverse Weather
11%
Engineering
Discriminator
100%
Marine Navigation
100%
Image Domain
50%
Restoration Process
50%
Image Translation
50%
Earth and Planetary Sciences
Multidomain
100%
Discriminator
22%
Surface Navigation
22%
Lightning
11%