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Facial Expression Generation with GANs by Spandan Ghosh is a document available to read on EtoBox.

What is Facial Expression Generation with GANs about?

This paper presents a deep-learning model utilizing Conditional Generative Adversarial Networks (cGANs) to manipulate facial expressions and orientations from a single image. The model, based on the Pix2Pix architecture, aims to achieve controllable and realistic facial image generation by addressing limitations of existing methods and exploring various applications in fields like entertainment and psychology. The authors emphasize the importance of ethical considerations while developing a robust model tra

Author

Spandan Ghosh

Language

EN