We present Instant Skinned Gaussian Avatars, a real-time and cross-platform 3D avatar system. Many approaches have been proposed to animate Gaussian Splatting, but they often require camera arrays, long preprocessing times, or high-end GPUs. Some methods attempt to convert Gaussian Splatting into mesh-based representations, achieving lightweight performance but sacrificing visual fidelity. In contrast, our system efficiently animates Gaussian Splatting by leveraging parallel splat-wise processing to dynamically follow the underlying skinned mesh in real time while preserving high visual fidelity. From smartphone-based 3D scanning to on-device preprocessing, the entire process takes just around five minutes, with the avatar generation step itself completed in only about 30 seconds. Our system enables users to instantly transform their real-world appearance into a 3D avatar, making it ideal for seamless integration with social media and metaverse applications. Website: https://gaussian-vrm.github.io/
翻译:我们提出了一种实时、跨平台的3D化身系统——即时蒙皮高斯化身。目前已有多种方法被提出用于驱动高斯溅射动画,但这些方法通常需要相机阵列、较长的预处理时间或高端GPU。部分方法尝试将高斯溅射转换为基于网格的表示,虽实现了轻量化性能,却牺牲了视觉保真度。相比之下,我们的系统通过并行溅射片处理技术,在保持高视觉保真度的同时,能够实时动态跟随底层蒙皮网格,从而高效驱动高斯溅射动画。从基于智能手机的3D扫描到设备端预处理,整个流程仅需约五分钟,其中化身生成步骤本身仅需约30秒即可完成。本系统使用户能够即时将真实世界的外观转化为3D化身,非常适合与社交媒体及元宇宙应用进行无缝集成。项目网站:https://gaussian-vrm.github.io/