With the rapid progress in recent years, techniques that generate and manipulate
multimedia content can now provide a very advanced level of realism. The boundary …

Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …

Face forgery by deepfake is widely spread over the internet and has raised severe societal
concerns. Recently, how to detect such forgery contents has become a hot research topic …

Generative image modeling enables a wide range of applications but raises ethical
concerns about responsible deployment. This paper introduces an active strategy combining …

In this work we ask whether it is possible to create a" universal" detector for telling apart real
images from these generated by a CNN, regardless of architecture or dataset used. To test …

The free access to large-scale public databases, together with the fast progress of deep
learning techniques, in particular Generative Adversarial Networks, have led to the …

With generative models proliferating at a rapid rate, there is a growing need for general
purpose fake image detectors. In this work, we first show that the existing paradigm, which …

Diffusion models have shown remarkable success in visual synthesis, but have also raised
concerns about potential abuse for malicious purposes. In this paper, we seek to build a …

Detecting manipulated facial images and videos is an increasingly important topic in digital
media forensics. As advanced face synthesis and manipulation methods are made …

With advancements in AI-generated images coming on a continuous basis, it is increasingly
difficult to distinguish traditionally-sourced images (eg, photos, artwork) from AI-generated …