Digital makeup
In today’s progressively digitized world, social media has become the most common platform for people to share their lives and foster connections with others. It is not difficult to find people on social media posting their portrait and self-portrait photographs, and this leads to the increasing...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175268 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | In today’s progressively digitized world, social media has become the most common platform for
people to share their lives and foster connections with others. It is not difficult to find people on
social media posting their portrait and self-portrait photographs, and this leads to the increasing
demand for photo-editing apps which help them to beautify their photos. However, the majority of
the tools are designed for only editing raster images and it is well known that vector graphics
provide several practical benefits over raster graphics, including sparse representation, compact
storage, geometric editability, information reuse and resolution-independence.
Hence, this project presents the use of state-of-the-art machine learning algorithm to develop a
digital makeup transfer algorithm which helps users to apply makeup to their portrait images
digitally. This project aims to develop a makeup transfer algorithm that edits vector graphics such
that image quality is maintained. |
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