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Review on the progress of the AIGC visual content generation and traceability - EurekAlert

With the swift growth of digital media and creative industries, AIGC technology has emerged as a key player in visual content generation. This paper systematically reviews advancements in image generation, from traditional GAN-based methods to state-of-the-art autoregressive and diffusion models. It emphasizes controllable image generation, leveraging layout and line drawings to offer creators precise control. As the technology evolves, security concerns arise, necessitating traceability for regulation. The paper explores watermarking as a means to ensure the reliability and security of generated content, categorizing and analyzing existing traceability methods and discussing watermark attacks. Aiming to address quality and security challenges, the paper provides a comprehensive research perspective on visual content generation and traceability, aiming to enhance the safety and credibility of digital media creation and guide future technological advancements.

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