SIGGRAPH Asia 2025 | 只用一部手机创建和渲染高质量3D数字人
机器之心·2025-12-18 10:15

Core Insights - The article discusses the advancements in 3D digital human reconstruction and rendering technology, specifically focusing on the HRM²Avatar system developed by the Taobao technology - Meta team, which allows for high-fidelity, real-time 3D digital humans to be created using only a smartphone [4][5][6]. Group 1: Technology Overview - HRM²Avatar is a system designed for high-fidelity real-time 3D digital human reconstruction and rendering, utilizing a two-stage capture method and a combination of explicit clothing mesh representation and Gaussian-based dynamic detail modeling [12][36]. - The system allows for the reconstruction of human figures, clothing structures, and detailed appearances under ordinary smartphone conditions, achieving a balance between visual realism, cross-pose consistency, and mobile real-time rendering [6][12]. Group 2: Methodology - The capture process involves both static and dynamic scanning phases, where users maintain a fixed pose for static scans and perform natural movements for dynamic scans, enabling the system to capture necessary signals for reconstruction and dynamic modeling [18][28]. - The system employs a mixed representation approach, attaching Gaussian points to the clothing mesh to provide controllable parameters for pose-related deformations and lighting modeling [40][46]. Group 3: Performance Evaluation - HRM²Avatar has been tested on mobile devices, achieving stable real-time performance with approximately 530,000 Gaussian points at 2K resolution and 120 FPS on the iPhone 15 Pro Max, and 2K at 90 FPS on Apple Vision Pro [87][89]. - Comparative evaluations show that HRM²Avatar outperforms existing methods in static reconstruction quality and appearance consistency under pose variations, as evidenced by higher PSNR and SSIM scores [76][80]. Group 4: Future Directions - The article emphasizes the ongoing need for optimization, particularly in handling complex clothing structures and extreme lighting conditions, indicating that HRM²Avatar is a significant milestone in making high-quality digital humans accessible to ordinary users [90].