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 advent of generative AI images has completely disrupted the art world. Distinguishing AI
generated images from human art is a challenging problem whose impact is growing over …

We propose a new comprehensive benchmark to revolutionize the current deepfake
detection field to the next generation. Predominantly, existing works identify top-notch …

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 …

With the evolution of storage and communication protocols, ultra-low bitrate image
compression has become a highly demanding topic. However, all existing compression …

With the rapid development of generative models, discerning AI-generated content has
evoked increasing attention from both industry and academia. In this paper, we conduct a …

A critical yet frequently overlooked challenge in the field of deepfake detection is the lack of
a standardized, unified, comprehensive benchmark. This issue leads to unfair performance …

In recent years, generative artificial intelligence models, represented by Large Language
Models (LLMs) and Diffusion Models (DMs), have revolutionized content production …

Detecting diffusion-generated images has recently developed as an emerging research
area. Existing diffusion-based datasets predominantly focus on general image generation …

The advancement of visual intelligence is intrinsically tethered to the availability of data. In
parallel, generative Artificial Intelligence (AI) has unlocked the potential to create synthetic …