Mythological Figures Face Prediction Using Generative Adversarial Networks
Vinil Gupta, Devesh C Singhal, Aby Anthony, Aishwarya Funaguskar, Rishav Tiwari, Sparsh Gaba, Patel Abdullah Zuber
Generative Adversarial Networks, Unsupervised Machine Learning, Neural Networks, Deep Learning
A potent style of neural network called generative adversarial networks is used to generate new data from a collection of training data that maintains the same characteristics as the training data. It has a wide variety of applications, (with some of them not being as noble as others) for animation ranging from animation model generation to deepfake generation. In this paper, we propose the application of GANs to generate realistic images of a mythological being depending on the existing depictions from various artists in the same period.
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Unique Paper ID: 157054

Publication Volume & Issue: Volume 9, Issue 5

Page(s): 823 - 827
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