XHand

Real-time generation of high-detail expressive hand avatars.

CommonProductImageHand AvatarReal-time Rendering

XHand is a model developed by Zhejiang University for real-time generation of high-detail expressive hand avatars. It creates these avatars using multi-view videos and leverages MANO pose parameters to generate high-detail meshes and renderings, achieving real-time rendering in various poses. XHand offers significant advantages in image realism and rendering quality, particularly in augmented reality and gaming fields, producing lifelike hand images instantaneously.

Real-time capture of hand geometry
appearance
and posture.
Utilizes a feature embedding module to predict hand deformation displacements
reflectance
and linear blend skinning weights.
Employs a mesh-based neural renderer for photorealistic rendering.
Incorporates partial perceptual Laplacian smoothing during training to effectively maintain necessary details while eliminating unwanted artifacts.
Evaluated experiments on the InterHand2.6M and DeepHandMesh datasets demonstrate its high fidelity and real-time performance.

XHand primarily targets users who require natural interaction and immersive experiences in virtual environments
such as game developers
virtual reality content creators
and animators. By providing high-quality hand models and animations
it enables users to create more realistic and expressive virtual characters.

Game developers use XHand to design realistic hand movements for characters.
In virtual reality applications
users achieve hand tracking and interaction through XHand.
Animators utilize XHand to generate virtual character hand animations with rich expressions and actions.

1. Visit the XHand product page to familiarize yourself with the basic information.
2. Read the documentation and code to understand how the model works and how to use it.
3. Download and install the necessary software and dependencies.
4. Prepare multi-view hand videos or images as input data.
5. Run the XHand model

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