Rain removal using cycle-consistency adversarial network
Raindrops in videos and images can hamper the visibility of objects in a scene, leading to a loss of video quality. In this project, we address the problem of rain removal in images by using an unsupervised learning approach relying on a new framework of cycle-consistent generative adversarial netwo...
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Format: | Final Year Project |
Language: | English |
Published: |
2019
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Online Access: | http://hdl.handle.net/10356/76949 |
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Institution: | Nanyang Technological University |
Language: | English |
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