Realistic Image

Realistic image generation is a rapidly advancing field focused on creating highly believable synthetic images using various techniques. Current research emphasizes improving the factual accuracy and geometric consistency of generated images, often employing diffusion models, generative adversarial networks (GANs), and attention mechanisms to enhance realism and address issues like hallucinations and inconsistencies. This work has significant implications for diverse applications, including medical imaging, e-commerce, virtual reality, and combating misinformation by enabling the development of robust fake image detection methods.