High-Quality Facial Geometry and Appearance Capture at Home
Yuxuan Han, Junfeng Lyu, Feng Xu
摘要
Data Capture Recon. Geometry and Reflectance a single co-located sequence normal mesh diffuse albedo specular albedo roughness Relighting high-quality renderings with plausible eyes' specularities Figure 1. We propose a novel method for high-quality face capture, featuring a low-cost and easy-to-use capture setup and the capability to model the complete face with skin, mouth interior, hair, and eyes. Our method takes a single co-located smartphone flashlight sequence captured in a dim room (e.g. rooms with curtains or at night) as input. It reconstructs relightable 3D face assets from the recorded data. These can be used by common graphics software like Blender to create photo-realistic renderings in new environments.
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引用它的顶会 Paper6
- Facial Appearance Capture at Home with Patch-Level Reflectance PriorYuxuan Han, Junfeng Lyu, Kuan Sheng, Minghao Que 等SIGGRAPH 2025 · 被引用 2 次
- VGGTFace: Topologically Consistent Facial Geometry Reconstruction in the WildXin Ming, Yuxuan Han, Tianyu Huang, Feng XuAAAI 2026 · 被引用 2 次
- WildCap: Facial Albedo Capture in the Wild via Hybrid Inverse RenderingYuxuan Han, Xin Ming, Tianxiao Li, Zhuofan Shen 等CVPR 2026 · 被引用 1 次
- Monocular Facial Appearance Capture in the WildYingyan Xu, Kate Gadola, Prashanth Chandran, Sebastian Weiss 等ICCV 2025
- RelightAnyone: A Generalized Relightable 3D Gaussian Head ModelYingyan Xu, Pramod Rao, Sebastian Weiss, Gaspard Zoss 等CVPR 2026
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