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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Nanyang Technological University
2022
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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 |
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Engineering::Computer science and engineering::Software Maung Ye Win Aung Deep image inpainting macOS/iOS application |
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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 |
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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 |
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Deep image inpainting macOS/iOS application |
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Deep image inpainting macOS/iOS application |
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deep image inpainting macos/ios application |
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Nanyang Technological University |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/162915 |
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1751548544835125248 |