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 $10\times$ computation reduction on the generative model and achieve real-time video stylization on off-the-shelf smartphone using mobile GPUs.
翻译:在这项工作中,我们展示了实时肖像刻板化,特别是将自画像转换成移动设备上的卡通或动画风格。我们建议了一种由长期驱动的不同建筑搜索方法,以保持现实的基因质量。在我们的框架下,我们从基因模型中获得了10美元的计算减值,并实现了使用移动GPUs在现成智能手机上实时视频刻度化。