PHAF-瞬间个性化手部化身
PHAF-Personalized Hand Avatars in a Flash
AI总结：
提出PHAF方法，从两张图像（手背和手掌）快速生成个性化逼真手部化身，通过语义引导网格对齐和密集纹理提取，结合视图修复网络，实现高质量多视角渲染，纹理生成速度比现有方法快30倍。
摘要：
我们提出PHAF-瞬间个性化手部化身，一种个性化的逼真手部化身，仅需两张图像（手背和手掌视图）即可提供高质量的多视角渲染。与基于优化的慢速技术不同，PHAF快速生成个性化纹理，适用于边缘设备上的实时部署。我们的方法结合语义引导的网格对齐和密集纹理提取，高效传递高频细节。基于视图的修复网络细化纹理，确保平滑连续的外观。PHAF可泛化到新视角，并利用参数化手部模型实现精确关节运动，与标准图形引擎兼容。实验表明，其在视觉保真度上与现有方法相当，同时将纹理生成时间大幅减少30倍，支持实用的AR/VR应用。
英文摘要：
We present PHAF-Personalized Hand Avatars in a Flash, a personalized photo-realistic hand avatar which provides high quality multi-view renders from just two images (dorsal and palmar views).Unlike slow optimization-based techniques, PHAF generates fast personalized textures for real-time deployment on edge devices. Our approach combines semantic guided mesh alignment and densified texture extraction to transfer high-frequency details efficiently. A view-based inpainting network refines textures ensuring smooth, continuous appearance. PHAF generalizes to novel viewpoints and leverages a parametric hand model for accurate articulations, making it compatible with standard graphics engines. Experiments show it is comparable to existing methods in visual fidelity while drastically reducing texture generation time by 30 times, enabling practical AR/VR applications.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
