Generating human faces by generative adversarial networks
Over the years, computer vision improves significantly. From recognising and understanding what lies underneath an image, we can now generate images by modelling training distribution using generative adversarial network(GAN). Since then, researchers come out with various variants of GAN and ways to...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/139259 |