7. Google Research Perception - CV4AR/VR
BlazeFace: Sub-millisecond Neural Face
Detection on Mobile GPUs, Google, 2019
• Lightweight but well-performing
• Tailored for mobile GPU inference
• 200–1000+ FPS on flagship devices
Real-time Facial Surface Geometry from
Monocular Video on Mobile GPUs, Google, 2019
• 3D human face mesh (468 vertices)
• Single camera input (no depth required)
• 100-1000 FPS on mobile GPUs
High-Quality AR Lipstick Simulation via
Image Filtering Techniques, Google, 2018
• 720p resolution
• 100+ FPS on mid-to-highend devices
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14. 720p
W1280 H720
360p
W640 H360
2X
OS Device SoC Framework API Average(ms) StdDev(ms)
Android 9 Pixel3a Snapdragon 670 Tensorflow Lite OpenCL 245.860 0.531
Android 9 Xperia1 Snapdragon 855 Tensorflow Lite OpenCL 67.469 0.646
iOS 12 iPhone XR A12 Bionic CoreML Metal 20.039 4.554
15. ゲーム業界特有の課題
Platform CPU Compiler
Ubuntu X86 GCC
Windows X86 Visual C++
Android ARM or X86 GCC
MacOS X X86 Clang
iOS ARM Clang
Platform CPU Compiler
Xbox One X86 Visual C++
PlayStation4 X86 Clang
Switch ARM Clang
19. 推論速度について補足
Accurate 3D Face Reconstruction with Weakly-Supervised
Learning: From Single Image to Image Set
AI-SCHOLAR
顔画像から3Dメッシュをお手軽に再構築!
実写アバターは身近なものに?
BlazeFace: Sub-millisecond Neural Face Detection on
Mobile GPUs
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