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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPEW34M/47MNG5P
Repositorysid.inpe.br/sibgrapi/2022/09.27.23.41
Last Update2022:09.27.23.41.58 (UTC) vinicius.trevisan@ufabc.edu.br
Metadata Repositorysid.inpe.br/sibgrapi/2022/09.27.23.41.58
Metadata Last Update2023:05.23.04.20.43 (UTC) administrator
Citation KeySouzaMarqGois:2022:FuChGe
TitleFundamentals and Challenges of Generative Adversarial Networks for Image-based Applications
FormatOn-line
Year2022
Access Date2024, Apr. 27
Number of Files1
Size927 KiB
2. Context
Author1 Souza, Vinicius Luis Trevisan de
2 Marques, Bruno Augusto Dorta
3 Gois, Joćo Paulo
Affiliation1 Universidade Federal do ABC
2 Universidade Federal do ABC
3 Universidade Federal do ABC
e-Mail Addressvinicius.trevisan@ufabc.edu.br
Conference NameConference on Graphics, Patterns and Images, 35 (SIBGRAPI)
Conference LocationNatal, RN
Date24-27 Oct. 2022
Book TitleProceedings
Tertiary TypeTutorial
History (UTC)2022-09-27 23:41:58 :: vinicius.trevisan@ufabc.edu.br -> administrator ::
2023-05-23 04:20:43 :: administrator -> :: 2022
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsGenerative Adversarial Network
image manipulation
deep image synthesis
deep neural network
AbstractSignificant advances in image-based applications have been achieved in recent years, many of which are arguably due to recent developments in Generative Adversarial Networks (GANs). Although the continuous improvement in the architectures of GAN has significantly increased the quality of synthetic images, this is not without challenges such as training stability and convergence issues, to name a few. In this work, we present the fundamentals and notable architectures of GANs, especially for image-based applications. We also discuss relevant issues such as training problems, diversity generation, and quality assessment (metrics).
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2022 > Fundamentals and Challenges...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPEW34M/47MNG5P
zipped data URLhttp://urlib.net/zip/8JMKD3MGPEW34M/47MNG5P
Languageen
Target Filetrevisandesouza-1.pdf
User Groupvinicius.trevisan@ufabc.edu.br
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/495MHJ8
Citing Item Listsid.inpe.br/sibgrapi/2023/05.19.12.10 6
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition editor electronicmailaddress group holdercode isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume


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