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An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement

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Bibliographic Details
Main Authors: Dario, Fuoli, Zhiwu, Huang, Danda Pani, Paudel
Format: Book
Language:English
Published: Springer 2023
Subjects:
Video enhancement
spatio-temporal domain
Online Access:https://link.springer.com/article/10.1007/s11263-022-01735-0
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7394
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spelling oai:localhost:PNK-73942023-03-31T07:57:47Z An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement Dario, Fuoli Zhiwu, Huang Danda Pani, Paudel Video enhancement spatio-temporal domain CC BY Video enhancement is a challenging problem, more than that of stills, mainly due to high computational cost, larger data volumes and the difficulty of achieving consistency in the spatio-temporal domain. In practice, these challenges are often coupled with the lack of example pairs, which inhibits the application of supervised learning strategies. To address these challenges, we propose an efficient adversarial video enhancement framework that learns directly from unpaired video examples. In particular, our framework introduces new recurrent cells that consist of interleaved local and global modules for implicit integration of spatial and temporal information. 2023-03-31T07:57:47Z 2023-03-31T07:57:47Z 2023 Book https://link.springer.com/article/10.1007/s11263-022-01735-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7394 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Video enhancement
spatio-temporal domain
spellingShingle Video enhancement
spatio-temporal domain
Dario, Fuoli
Zhiwu, Huang
Danda Pani, Paudel
An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement
description CC BY
format Book
author Dario, Fuoli
Zhiwu, Huang
Danda Pani, Paudel
author_facet Dario, Fuoli
Zhiwu, Huang
Danda Pani, Paudel
author_sort Dario, Fuoli
title An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement
title_short An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement
title_full An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement
title_fullStr An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement
title_full_unstemmed An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement
title_sort efficient recurrent adversarial framework for unsupervised real-time video enhancement
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s11263-022-01735-0
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7394
_version_ 1761912527259697152
score 8.887836

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