MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Automatically generating textured buildings using reconstructive and statistical methods

Author(s)
Lee, Ka Wai,M. Eng.Massachusetts Institute of Technology.
Thumbnail
Download1129384696-MIT.pdf (7.538Mb)
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Frédo Durand.
Terms of use
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
Metadata
Show full item record
Abstract
Realistic 3D models of cities are extremely important for generating synthetic datasets for deep learning models. Current algorithms generate models of cities that are either monotonous, unrealistic, or must be specified with many procedural rules. In this thesis we present AutoCity, a system for generating realistic textured buildings given only the footprints of the buildings. AutoCity generates buildings using reconstructive and procedural methods, and then textures the buildings using a known adversarial neural network, FrankenGAN. We provide images of our output and extensive documentation on how the system can be run and extended.
Description
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 45-46).
 
Date issued
2019
URI
https://hdl.handle.net/1721.1/123167
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

Collections
  • Graduate Theses

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.