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dc.contributor.advisorPattie Maes.en_US
dc.contributor.authorYuen, Erica(Erica J.)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2020-09-15T22:03:22Z
dc.date.available2020-09-15T22:03:22Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/127553
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, May, 2020en_US
dc.descriptionCataloged from the official PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 64-66).en_US
dc.description.abstractCollaboration between human and machine can lead to the novel generation and combination of ideas. Paper Dreams explores how the real-time generation of ideas and visuals based off of user sketch, text, and voice input can encourage additional creativity, under the context of visual story development. We discuss the definition of and importance of creativity, and outline past tools for artistic expression and machine learning based art. We then explore how Paper Dreams' system of processing user sketches and generation of color and classes is unique and impactful. Emerging from past work done on Paper Dreams, we discuss how an initial user study motivated additional technical and design changes to support easier user manipulation and data collection with the system. We then detail the design and development of these technical changes, and the decisions and challenges surrounding these steps. Finally, we demonstrate how these system changes contribute towards future work for Paper Dreams.en_US
dc.description.statementofresponsibilityby Erica Yuen.en_US
dc.format.extent66 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titlePaper dreams : real-time collaboration with machine learning for artistic expressionen_US
dc.title.alternativeReal-time collaboration with machine learning for artistic expressionen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc1193032228en_US
dc.description.collectionM.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2020-09-15T22:03:21Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentEECSen_US


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