dc.contributor.advisor | Pattie Maes. | en_US |
dc.contributor.author | Yuen, Erica(Erica J.) | en_US |
dc.contributor.other | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. | en_US |
dc.date.accessioned | 2020-09-15T22:03:22Z | |
dc.date.available | 2020-09-15T22:03:22Z | |
dc.date.copyright | 2020 | en_US |
dc.date.issued | 2020 | en_US |
dc.identifier.uri | https://hdl.handle.net/1721.1/127553 | |
dc.description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, May, 2020 | en_US |
dc.description | Cataloged from the official PDF of thesis. | en_US |
dc.description | Includes bibliographical references (pages 64-66). | en_US |
dc.description.abstract | Collaboration 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.statementofresponsibility | by Erica Yuen. | en_US |
dc.format.extent | 66 pages | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Massachusetts Institute of Technology | en_US |
dc.rights | MIT 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.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
dc.subject | Electrical Engineering and Computer Science. | en_US |
dc.title | Paper dreams : real-time collaboration with machine learning for artistic expression | en_US |
dc.title.alternative | Real-time collaboration with machine learning for artistic expression | en_US |
dc.type | Thesis | en_US |
dc.description.degree | M. Eng. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
dc.identifier.oclc | 1193032228 | en_US |
dc.description.collection | M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science | en_US |
dspace.imported | 2020-09-15T22:03:21Z | en_US |
mit.thesis.degree | Master | en_US |
mit.thesis.department | EECS | en_US |