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Image to Image Translation using Deep Learning Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 175 - Number 22 |
| Year of Publication: 2020 |
| Authors: S. Ramya, S. Anchana, A.M. Bavidhraa Shrrei, R. Devanand |
10.5120/ijca2020920745
|
S. Ramya, S. Anchana, A.M. Bavidhraa Shrrei, R. Devanand . Image to Image Translation using Deep Learning Techniques. International Journal of Computer Applications. 175, 22 ( Oct 2020), 40-42. DOI=10.5120/ijca2020920745
Abstract
This project aims to make image-to-image translation for different tasks using deep learning techniques. Using dataset generated by a combination of online images. We have generated images for different tasks. Our innovation is we train and test the cycle-consistent adversarial networks using dataset. We have tried to fine-tune hyper parameters such as batch size, learning rate, lambda in loss function and trying to add dropout to our network. The experiment outcomes show that our method can successfully transfer for disparate tasks while conserving the original content.
References
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