XHand
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Xhand
Overview :
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.
Target Users :
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.
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Use Cases
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.
Features
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.
How to Use
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, input the hand data, and observe the rendering results.
6. Adjust parameters as needed to optimize the expressiveness and realism of the hand model.
7. Apply the generated hand models and animations in your project.
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