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dc.contributor.authorWergeland, Christian Mehl
dc.date.accessioned2023-01-24T03:10:18Z
dc.date.available2023-01-24T03:10:18Z
dc.date.issued2022-07-01
dc.date.submitted2023-01-23T09:32:01Z
dc.identifier.urihttps://hdl.handle.net/11250/3045510
dc.description.abstractMaking a digital drawing assistant is a complicated problem for the simple reason that we are trying to make a computer program understand and create something that are as abstract as a drawing. Thus, there have been many different approaches to what a drawing assistant is supposed to do and what part of the drawing process it is designed to assist with. In this thesis, we will explore ways to improve the drawing process, both in terms of speed and quality of the outcome. This will be done with the use of neural networks that will try to learn what the drawer intends to draw from what they has previously drawn, as well as their assessment of that. The final drawing assistant created in thesis managed to reliably predict the drawer’s intention and can be used to create simple drawings and illustrations.
dc.language.isoeng
dc.publisherThe University of Bergen
dc.rightsCopyright the Author. All rights reserved
dc.titleExploring Ways of Creating an AI Drawing Assistant
dc.typeMaster thesis
dc.date.updated2023-01-23T09:32:01Z
dc.rights.holderCopyright the Author. All rights reserved
dc.description.degreeMasteroppgave i informatikk
dc.description.localcodeINF399
dc.description.localcodeMAMN-INF
dc.description.localcodeMAMN-PROG
dc.subject.nus754199
fs.subjectcodeINF399
fs.unitcode12-12-0


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