Deep image inpainting macOS/iOS application

This report presents the development of the Image Filter System. It is designed to transform photos and videos into masterpieces. Essentially, allowing users to import the media file where this media becomes a totally new file with artwork. The system contains two developments: mobile application an...

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Main Author: Maung Ye Win Aung
Other Authors: Chen Change Loy
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/162915
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1629152022-11-14T06:57:09Z Deep image inpainting macOS/iOS application Maung Ye Win Aung Chen Change Loy School of Computer Science and Engineering ccloy@ntu.edu.sg Engineering::Computer science and engineering::Software This report presents the development of the Image Filter System. It is designed to transform photos and videos into masterpieces. Essentially, allowing users to import the media file where this media becomes a totally new file with artwork. The system contains two developments: mobile application and backend development. For the mobile side, iOS development is being used as a frontend to carry out image filtering functions. The server side of the system is to provide client services such user authentication, user requests, and admin requests. This image filter system aims to empower non-artists to appreciate the creativity that comes along when creating and sharing an art work. Along with enabling individuals everywhere to explore their own creativity, the commercial art world serves as a great example of the importance of style transfer. And style transfer is now possible for captured video because of the ongoing development of AI-accelerated technology in the cloud and on the edge. The possibilities for design, content creation, and the advancement of creative tools are unlimited thanks to this new capability. Bachelor of Engineering (Computer Science) 2022-11-14T02:46:55Z 2022-11-14T02:46:55Z 2022 Final Year Project (FYP) Maung Ye Win Aung (2022). Deep image inpainting macOS/iOS application. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/162915 https://hdl.handle.net/10356/162915 en SCSE21-0825 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Software
spellingShingle Engineering::Computer science and engineering::Software
Maung Ye Win Aung
Deep image inpainting macOS/iOS application
description This report presents the development of the Image Filter System. It is designed to transform photos and videos into masterpieces. Essentially, allowing users to import the media file where this media becomes a totally new file with artwork. The system contains two developments: mobile application and backend development. For the mobile side, iOS development is being used as a frontend to carry out image filtering functions. The server side of the system is to provide client services such user authentication, user requests, and admin requests. This image filter system aims to empower non-artists to appreciate the creativity that comes along when creating and sharing an art work. Along with enabling individuals everywhere to explore their own creativity, the commercial art world serves as a great example of the importance of style transfer. And style transfer is now possible for captured video because of the ongoing development of AI-accelerated technology in the cloud and on the edge. The possibilities for design, content creation, and the advancement of creative tools are unlimited thanks to this new capability.
author2 Chen Change Loy
author_facet Chen Change Loy
Maung Ye Win Aung
format Final Year Project
author Maung Ye Win Aung
author_sort Maung Ye Win Aung
title Deep image inpainting macOS/iOS application
title_short Deep image inpainting macOS/iOS application
title_full Deep image inpainting macOS/iOS application
title_fullStr Deep image inpainting macOS/iOS application
title_full_unstemmed Deep image inpainting macOS/iOS application
title_sort deep image inpainting macos/ios application
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/162915
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