We present Follow-Your-Emoji, a diffusion-based framework for portrait animation, which
animates a reference portrait with target landmark sequences. The main challenge of portrait …

We propose X-Portrait, an innovative conditional diffusion model tailored for generating
expressive and temporally coherent portrait animation. Specifically, given a single portrait as …

The task of face reenactment is to transfer the head motion and facial expressions from a
driving video to the appearance of a source image which may be of a different person (cross …

Predominant techniques on talking head generation largely depend on 2D information,
including facial appearances and motions from input face images. Nevertheless, dense 3D …

In today's era of social media, where information spreads rapidly through platforms like
YouTube, Facebook, and Twitter, the development of generative models have given rise to a …

In the era of Artificial Intelligence Generated Content (AIGC), face forgery models pose
significant security threats. These models have caused widespread negative impacts …

We present a novel end-to-end identity-agnostic face reenactment system, MaskRenderer,
that can generate realistic, high fidelity frames in real-time. Although recent face …

Crowd localization can provide the positions of individuals and the total number of people,
which has great application value for security monitoring and public management …

Accurate Story visualization requires several necessary elements, such as identity
consistency across frames, the alignment between plain text and visual content, and a …

This paper investigates the feasibility of a proactive DeepFake defense framework,{\em
FacePosion}, to prevent individuals from becoming victims of DeepFake videos by …