• Prof. Ganesh H. Wani
• Atharva Chitambar
• Omkar Mansulkar
• Siddhant Chhallani
• Raj Jadhav

The concerned project involves exploring the methods of harnessing the power of Generative Adversarial Networks (GANs), especially various GAN architectures like CycleGAN for creation of art. By using potential of deep learning, GANs allow us translation of images from one art style to another, offering a fresh approach for art generation. Moreover, the project focuses on implementing an API to have a user-friendly interface for the generation of initial base images.

CycleGAN, Generative Adversarial Networks, Image Improvement, Prompt-to-image API, Unsupervised Learning, Deep Learning, Art Generation, Neural Networks

"Art Generation using GAN and API", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.b61-b66, March-2025, Available :http://www.jetir.org/papers/JETIR2503108.pdf

"Art Generation using GAN and API", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppb61-b66, March-2025, Available at : http://www.jetir.org/papers/JETIR2503108.pdf