Modeling animatable human avatars from RGB videos is a long-standing and challenging
problem. Recent works usually adopt MLP-based neural radiance fields (NeRF) to represent …

We present AvatarReX, a new method for learning NeRF-based full-body avatars from video
data. The learnt avatar not only provides expressive control of the body, hands and the face …

Real-time rendering of photorealistic and controllable human avatars stands as a
cornerstone in Computer Vision and Graphics. While recent advances in neural implicit …

Realistic virtual humans play a crucial role in numerous industries, such as metaverse,
intelligent healthcare, and self-driving simulation. But creating them on a large scale with …

Generating controllable and photorealistic digital human avatars is a long-standing and
important problem in Vision and Graphics. Recent methods have shown great progress in …

We present Drivable 3D Gaussian Avatars (D3GA), the first 3D controllable model for human
bodies rendered with Gaussian splats. Current photorealistic drivable avatars require either …

Modeling and rendering photorealistic avatars is of crucial importance in many applications.
Existing methods that build a 3D avatar from visual observations, however, struggle to …

We have recently seen tremendous progress in photo-real human modeling and rendering.
Yet efficiently rendering realistic human performance and integrating it into the rasterization …

Creating pose-driven human avatars is about modeling the mapping from the low-frequency
driving pose to high-frequency dynamic human appearances, so an effective pose encoding …

Garment sewing pattern represents the intrinsic rest shape of a garment, and is the core for
many applications like fashion design, virtual try-on, and digital avatars. In this work, we …