1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPEW34M/47MNG5P |
Repository | sid.inpe.br/sibgrapi/2022/09.27.23.41 |
Last Update | 2022:09.27.23.41.58 (UTC) vinicius.trevisan@ufabc.edu.br |
Metadata Repository | sid.inpe.br/sibgrapi/2022/09.27.23.41.58 |
Metadata Last Update | 2023:05.23.04.20.43 (UTC) administrator |
Citation Key | SouzaMarqGois:2022:FuChGe |
Title | Fundamentals and Challenges of Generative Adversarial Networks for Image-based Applications |
Format | On-line |
Year | 2022 |
Access Date | 2024, Sep. 08 |
Number of Files | 1 |
Size | 927 KiB |
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2. Context | |
Author | 1 Souza, Vinicius Luis Trevisan de 2 Marques, Bruno Augusto Dorta 3 Gois, Joćo Paulo |
Affiliation | 1 Universidade Federal do ABC 2 Universidade Federal do ABC 3 Universidade Federal do ABC |
e-Mail Address | vinicius.trevisan@ufabc.edu.br |
Conference Name | Conference on Graphics, Patterns and Images, 35 (SIBGRAPI) |
Conference Location | Natal, RN |
Date | 24-27 Oct. 2022 |
Book Title | Proceedings |
Tertiary Type | Tutorial |
History (UTC) | 2022-09-27 23:41:58 :: vinicius.trevisan@ufabc.edu.br -> administrator :: 2023-05-23 04:20:43 :: administrator -> :: 2022 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | Generative Adversarial Network image manipulation deep image synthesis deep neural network |
Abstract | Significant 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). |
Arrangement | urlib.net > SDLA > Fonds > SIBGRAPI 2022 > Fundamentals and Challenges... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://sibgrapi.sid.inpe.br/ibi/8JMKD3MGPEW34M/47MNG5P |
zipped data URL | http://sibgrapi.sid.inpe.br/zip/8JMKD3MGPEW34M/47MNG5P |
Language | en |
Target File | trevisandesouza-1.pdf |
User Group | vinicius.trevisan@ufabc.edu.br |
Visibility | shown |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/495MHJ8 |
Citing Item List | sid.inpe.br/sibgrapi/2023/05.19.12.10 21 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy 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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