Human Pose Manipulation for Synthetic Actors

dc.AffiliationOctober University for modern sciences and Arts (MSA)  
dc.contributor.authorAyman, Seif Allah
dc.date.accessioned2021-01-23T11:52:21Z
dc.date.available2021-01-23T11:52:21Z
dc.date.issued2020
dc.descriptionComputer sciences distinguished graduation projects 2020en_US
dc.description.abstractHuman pose manipulation is the controlling of a person’s body in a static pic- ture and making him do whatever poses or actions that we force on him.This makes it possible bring back old movie actors to new movies or even any person we are able to reach to be inside the movie and move his body as we want.In this project , we present how to achieve pose manipulation using deep learning.The project contains more than one deep learning model to solve different problems first like pose estimation as we need poses to force the person to do.We used minimal resources like a low resolution camera and not much computational power to achieve the pose manipulation.en_US
dc.description.sponsorshipDr.Ahmed Farouken_US
dc.identifier.citationCopyright © 2020 MSA University. All Rights Reserved.en_US
dc.identifier.urihttp://repository.msa.edu.eg/xmlui/handle/123456789/4343
dc.language.isoenen_US
dc.publisherOctober University for Modern Sciences and Artsen_US
dc.relation.ispartofseriesCOMPUTER SCIENCES DISTINGUISHED PROJECTS 2020;
dc.subjectUniversity of Modern Sciences and Artsen_US
dc.subjectOctober University for Modern Sciences and Artsen_US
dc.subjectجامعة أكتوبر للعلوم الحديثة و الآدابen_US
dc.subjectMSA Universityen_US
dc.subjectSynthetic Actorsen_US
dc.titleHuman Pose Manipulation for Synthetic Actorsen_US
dc.typeOtheren_US

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