Performance Analysis of Cycle GAN in Photo to Portrait Transfiguration Using Deep Learning Optimizers

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-...

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Bibliographic Details
Main Authors: L. Lakshmi, A. Naga Kalyani, D. Krishna Madhuri, Sirisha Potluri, Geetika Silakari Pandey, Shahid Ali, Muhammad Ijaz Khan, Fuad A. Awwad, Emad A. A. Ismail
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Cycle-GAN
generator
discriminator
object transfiguration
unsupervised learning
generative adversarial networks
Online Access:https://ieeexplore.ieee.org/document/10332183/

Internet

https://ieeexplore.ieee.org/document/10332183/

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