The advent of artificial intelligence-generated content (AIGC) represents a pivotal moment in
the evolution of information technology. With AIGC, it can be effortless to generate high …

The rapid advancement of Large AI Models (LAIMs), particularly diffusion models and large
language models, has marked a new era where AI-generated multimedia is increasingly …

Deepfake detection aims to contrast the spread of deep-generated media that undermines
trust in online content. While existing methods focus on large and complex models the need …

Recent advances in generative AI have led to the development of techniques to generate
visually realistic synthetic video. While a number of techniques have been developed to …

Deep generative models can create remarkably photorealistic fake images while raising
concerns about misinformation and copyright infringement, known as deepfake threats …

Synthetic image generation methods have recently revolutionized the way in which visual
content is created. This opens up creative opportunities but also presents challenges in …

Continual learning requires a model to adapt to ongoing changes in the data distribution,
and often to the set of tasks to be performed. It is rare, however, that the data and task …

Watermarking is a tool for actively identifying and attributing the images generated by latent
diffusion models. Existing methods face the dilemma of watermark robustness and image …

In the era of AIGC, the fast development of visual content generation technologies, such as
diffusion models, brings potential security risks to our society. Existing generated image …

Creating high-quality and realistic images is now possible thanks to the impressive
advancements in image generation. A description in natural language of your desired output …