ProGAN-Based Architectural Style Transfer: Cross-Cultural Adaptation of Indian Architecture

India’s architectural heritage serves as a testament to its rich history and cultural diversity, offering profound insights into its past. Despite dedicated efforts in documentation and photography, the faithful translation of Indian architectural wonders into digital representations remains a formidable challenge. Conventional image generation methods, including state-of-the-art Generative Adversarial Networks (GANs), often struggle to encapsulate the intricate nuances and deep-rooted cultural essence of these architectural masterpieces. This research endeavors to develop a specialized GAN model meticulously crafted for the singular purpose of rendering hyper-realistic and historically accurate images of Indian architectural monuments. The fundamental aspiration is to not only safeguard these invaluable cultural monuments but also to present them to the world in a manner that elicits profound appreciation within the digital landscape. The research aims to train the specialized GAN to iterate through the architectural characteristics of Indian monuments systematically. This iterative approach, driven by an understanding of architectural elements, historical contexts, and cultural symbolism, will enable the GAN to progressively enhance its ability to generate monument images.