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Google Research Introduces MediaPipe FaceStylizer: An Efficient Design for Few-Shot Face Stylization
Researchers and consumers have shown increasing enthusiasm for smartphone applications that combine augmented reality (AR) in recent years. This allows users to generate and alter facial features in real time for short videos, VR, and games. Face generation and editing models based on generative adversarial network (GAN) approaches are popular since they are lightweight while […]
The post Google Research Introduces MediaPipe FaceStylizer: An Efficient Design for Few-Shot Face Stylization appeared first on MarkTechPost.
applications augmented reality consumers design editing face features few-shot games gan generate generative generative adversarial network google google research mediapipe network reality research researchers smartphone tech news videos