Our goal with this survey is to provide an overview of the state of the art deep learning
methods for face generation and editing using StyleGAN. The survey covers the evolution of …

Rendering photorealistic and dynamically moving human heads is crucial for ensuring a
pleasant and immersive experience in AR/VR and video conferencing applications …

In this paper, we propose a novel framework, Tracking-free Relightable Avatar (TRAvatar),
for capturing and reconstructing high-fidelity 3D avatars. Compared to previous methods …

Facial geometry and appearance capture have demonstrated tremendous success in 3D
scanning real humans in studios. Recent works propose to democratize this technique while …

Neural radiance fields (NeRF) typically require a complete set of images taken from multiple
camera perspectives to accurately reconstruct geometric details. However, this approach …

While recent works have achieved great success on one-shot 3D common object
generation, high quality and fidelity 3D head generation from a single image remains a great …

This paper presents a novel two-stage approach for reconstructing human faces from sparse-
view images, a task made challenging by the unique geometry and complex skin reflectance …

In high-end visual effects pipelines, a customized (and expensive) light stage system is
(typically) used to scan an actor in order to acquire both geometry and texture for various …

We adopt MetaShape 1 to calibrate a shared camera intrinsic matrix for all the recorded
frames and a camera extrinsic matrix for each frame. We translate and scale the mesh …