Abstract
In today’s world, most problems could be solved with the help of modern technology. One such situation that requires the help of technology is designing and building infrastructures. For example, an architect or infrastructure designer always needs to know the future outlook of his/her blueprint and does changes accordingly before the construction. This can be done by hand sketching the infrastructure design and inputting it into a Deep Learning technique that generates images showing the building's future outlook. The paper shows the use of Cycle Generative Adversarial Network (Cycle GAN) as the Deep Learning model in the above case where the application is deployed on the Cloud as a ready-to-use service for the architect or designer.
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Nallamothu, L.H., Ramisetti, T.P., Mekala, V.K., Aramandla, K., Duvvada, R.R. (2023). Interactive Image Generation Using Cycle GAN Over AWS Cloud. In: Shakya, S., Balas, V.E., Haoxiang, W. (eds) Proceedings of Third International Conference on Sustainable Expert Systems . Lecture Notes in Networks and Systems, vol 587. Springer, Singapore. https://doi.org/10.1007/978-981-19-7874-6_30
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DOI: https://doi.org/10.1007/978-981-19-7874-6_30
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