Text-to-Image Synthesis for Heritage Monuments Using Generative Adversarial Networks: A Survey

India’s architectural heritage, including iconic structures like the temples of the Vijayanagara Empire, faces significant preservation challenges from factors such as wars, neglect, and environmental degradation. Artificial Intelligence (AI) offers innovative solutions for heritage conservation, providing advanced tools for documenting, analyzing, and digitally restoring these cultural assets. Among AI technologies, Generative Adversarial Networks (GANs) stand out for their ability to reconstruct and visualize heritage sites from textual descriptions, enabling digital restoration and preservation. GANs can realistically recreate lost or damaged elements, offering a virtual glimpse into the past that supports both education and awareness. By providing immersive experiences through virtual tours and digital reconstructions, GANs can help raise global awareness about India’s rich architectural legacy, while also engaging local communities in the importance of preservation. This technology allows for interactive exploration, empowering conservationists to make informed decisions that balance historical accuracy with modern conservation needs. Ultimately, GANs play a crucial role in safeguarding India’s architectural heritage for future generations, fostering deeper public understanding and appreciation both locally and globally.