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44447.pdf (5.41 MB)
ETD Abstract Container
Abstract Header
Analysis of Artifact Formation and Removal in GAN Training
Author Info
Hackney, Daniel
ORCID® Identifier
http://orcid.org/0009-0000-2926-338X
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1684771640269023
Abstract Details
Year and Degree
2023, MS, University of Cincinnati, Engineering and Applied Science: Computer Science.
Abstract
Generative Adversarial Networks (GANs) are canonically characterized as a generative model for unsupervised learning where two neural networks compete against each other with the loss of one agent being the gain of the other. Undesired artifact formation is a common problem that occurs during the training process of high-resolution, image generating GANs. These artifacts can appear in several forms, such as checkerboard-like patterns or blurry features that disrupt training and prevent optimal image generation. This work will look at how these artifacts arise and explore several strategies that attempt to mitigate their formation during the training of a DCGAN.
Committee
Badri Vellambi Ravisankar, Ph.D. (Committee Chair)
Raj Bhatnagar, Ph.D. (Committee Member)
Jillian Aurisano, Ph.D. (Committee Member)
Pages
66 p.
Subject Headings
Computer Science
Keywords
GANs
;
artifacts
;
checkerboard
;
neural networks
;
generative adversarial networks
;
machine learning
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Citations
Hackney, D. (2023).
Analysis of Artifact Formation and Removal in GAN Training
[Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1684771640269023
APA Style (7th edition)
Hackney, Daniel.
Analysis of Artifact Formation and Removal in GAN Training.
2023. University of Cincinnati, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1684771640269023.
MLA Style (8th edition)
Hackney, Daniel. "Analysis of Artifact Formation and Removal in GAN Training." Master's thesis, University of Cincinnati, 2023. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1684771640269023
Chicago Manual of Style (17th edition)
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Document number:
ucin1684771640269023
Download Count:
149
Copyright Info
© 2023, some rights reserved.
Analysis of Artifact Formation and Removal in GAN Training by Daniel Hackney is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Cincinnati and OhioLINK.