Real-Time Relighting of Human Faces with a Low-Cost Setup
Nejc MačEk (Student TU Delft)
Baran Usta (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Elmar Eisemann (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Ricardo Marroquim (TU Delft - Electrical Engineering, Mathematics and Computer Science)
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Abstract
Video-streaming services usually feature post-processing effects to replace the background. However, these often yield inconsistent lighting. Machine-learning-based relighting methods can address this problem, but, at real-time rates, are restricted to a low resolution and can result in an unrealistic skin appearance. Physically-based rendering techniques require complex skin models that can only be acquired using specialised equipment. Our method is lightweight and uses only a standard smartphone. By correcting imperfections during capture, we extract a convincing physically-based skin model. In combination with suitable acceleration techniques, we achieve real-time rates on commodity hardware.