This paper presents a comprehensive review of deep learning applications in the video
game industry, focusing on how these techniques can be utilized in game development …

Abstract Recent popular Role-Playing Games (RPGs) saw the great success of character
auto-creation systems. The bone-driven face model controlled by continuous parameters …

Many deep learning based 3D face reconstruction methods have been proposed recently,
however, few of them have applications in games. Current game character customization …

Stylized 3D avatars have become increasingly prominent in our modern life. Creating these
avatars manually usually involves laborious selection and adjustment of continuous and …

Talking face generation has gained immense popularity in the computer vision community,
with various applications including AR/VR, teleconferencing, digital assistants, and avatars …

Under the normalization of epidemic control in COVID-19, it is essential to realize fast and
high-precision face recognition without feeling for epidemic prevention and control. This …

We present a novel method for automatic vectorized avatar generation from a single portrait
image. Most existing approaches that create avatars rely on image-to-image translation …

The research fields of parametric face model and 3D face reconstruction have been
extensively studied. However, a critical question remains unanswered: how to tailor the face …

Procedural content generation (PCG) algorithms have become increasingly vital in video
games developed by small studios due to their ability to save time while creating diverse …

Abstract 3D morphable models (3DMMs) are generative models for face shape and
appearance. Recent works impose face recognition constraints on 3DMM shape parameters …