Abstract
In this work we demonstrate real-time portrait stylization, specifically, translating self-portrait into cartoon or anime style on mobile devices.
We propose a latency-driven differentiable architecture search method, maintaining realistic generative quality.
With our framework, we obtain 10× computation reduction on the generative model and achieve real-time video stylization on off-the-shelf smartphone using mobile GPUs.
Keywords
- Computer Vision: Neural generative models, auto encoders, GANs
- Constraint Satisfaction and Optimization: Applications
- Machine Learning: Automated Machine Learning
