Despite raw driving videos contain richer information on facial expressions than
intermediate representations such as landmarks in the field of portrait animation, they are …

Diffusion models have demonstrated superior performance in the field of portrait animation.
However, current approaches relied on either visual or audio modality to control character …

In this paper, we propose Generalizable and Animatable Gaussian head Avatar (GAGA) for
one-shot animatable head avatar reconstruction. Existing methods rely on neural radiance …

In this paper, we present a novel 3D head avatar creation approach capable of generalizing
from few-shot in-the-wild data with high-fidelity and animatable robustness. Given the …

The portrayal of emotions by virtual characters is crucial in virtual reality (VR)
communication. Effective communication in VR relies on a shared understanding, which is …

We present LAM, an innovative Large Avatar Model for animatable Gaussian head
reconstruction from a single image. Unlike previous methods that require extensive training …

Tuning-free approaches adapting large-scale pre-trained video diffusion models for identity-
preserving text-to-video generation (IPT2V) have gained popularity recently due to their …

Human-Readable SVG Generation The primary goal of my work [1] has been to transform
complex image data into Scalable Vector Graphics (SVGs) that are interpretable both to …