Performance Analysis of Cycle GAN in Photo to Portrait Transfiguration Using Deep Learning Optimizers
In the realm of computer vision, image transformations play a pivotal role across various domains such as healthcare, image enhancement, artist painting identification, genome sequencing, and more. While supervised learning demands a substantial volume of annotated images for training models, Cycle-...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10332183/ |