Paper Dreams : an adaptive drawing canvas supported by machine learning

This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.

Bibliographic Details
Main Author: Zhou, Lily,M. Eng.Massachusetts Institute of Technology.
Other Authors: Pattie Maes.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2019
Subjects:
Online Access:https://hdl.handle.net/1721.1/122990
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author Zhou, Lily,M. Eng.Massachusetts Institute of Technology.
author2 Pattie Maes.
author_facet Pattie Maes.
Zhou, Lily,M. Eng.Massachusetts Institute of Technology.
author_sort Zhou, Lily,M. Eng.Massachusetts Institute of Technology.
collection MIT
description This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
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spelling mit-1721.1/1229902019-11-22T03:45:53Z Paper Dreams : an adaptive drawing canvas supported by machine learning Adaptive drawing canvas supported by machine learning Zhou, Lily,M. Eng.Massachusetts Institute of Technology. Pattie Maes. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Electrical Engineering and Computer Science. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019 Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 55-58). Despite numerous recent advances in the field of deep learning for artistic purposes, the integration of these state-of-the-art machine learning tools into applications for drawing and visual expression has been an underexplored field. Bridging this gap has the potential to empower a large subset of the population, from children to the elderly, with a new medium to represent and visualize their ideas. Paper Dreams is a web-based canvas for sketching and storyboarding, with a multimodal user interface integrated with a variety of machine learning models. By using sketch recognition, style transfer, and natural language processing, the system can contextualize what the user is drawing; it then can color the sketch appropriately, suggest related objects for the user to draw, and allow the user to pull from a database of related images to add onto the canvas. Furthermore, the user can influence the output of the models via a serendipity dial that affects how "wacky" the system's outputs are. By processing a variety of multimodal inputs and automating artistic processes, Paper Dreams becomes an efficient tool for quickly generating vibrant and complex artistic scenes. by Lily Zhou. M. Eng. M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science 2019-11-22T00:00:29Z 2019-11-22T00:00:29Z 2019 2019 Thesis https://hdl.handle.net/1721.1/122990 1127290502 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 58 pages application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Zhou, Lily,M. Eng.Massachusetts Institute of Technology.
Paper Dreams : an adaptive drawing canvas supported by machine learning
title Paper Dreams : an adaptive drawing canvas supported by machine learning
title_full Paper Dreams : an adaptive drawing canvas supported by machine learning
title_fullStr Paper Dreams : an adaptive drawing canvas supported by machine learning
title_full_unstemmed Paper Dreams : an adaptive drawing canvas supported by machine learning
title_short Paper Dreams : an adaptive drawing canvas supported by machine learning
title_sort paper dreams an adaptive drawing canvas supported by machine learning
topic Electrical Engineering and Computer Science.
url https://hdl.handle.net/1721.1/122990
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