Visual Naturalness

Visual naturalness research focuses on understanding and replicating the qualities of naturally occurring images, particularly in the context of AI-generated content and adversarial attacks. Current efforts concentrate on developing methods to assess and improve the naturalness of AI-generated images and text, often employing generative models like GANs and VAEs, as well as analyzing attention mechanisms in transformer-based models. This research is crucial for advancing AI image and text generation, improving the robustness of AI systems against adversarial attacks, and ensuring the ethical and responsible use of AI in various applications.