IJCAI 2022poster1 citations
Real-Time Portrait Stylization on the Edge
Yanyu Li, Xuan Shen, Geng Yuan, Jiexiong Guan, Wei Niu, Hao Tang, Bin Ren, Yanzhi Wang
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.
Computer Vision: Neural generative models, auto encoders, GANsConstraint Satisfaction and Optimization: ApplicationsMachine Learning: Automated Machine Learning
BibTeX
@inproceedings{ijcai2022p856,
title = {Real-Time Portrait Stylization on the Edge},
author = {Li, Yanyu and Shen, Xuan and Yuan, Geng and Guan, Jiexiong and Niu, Wei and Tang, Hao and Ren, Bin and Wang, Yanzhi},
booktitle = {Proceedings of the Thirty-First International Joint Conference on
Artificial Intelligence, {IJCAI-22}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Lud De Raedt},
pages = {5928--5931},
year = {2022},
month = {7},
note = {Demo Track},
doi = {10.24963/ijcai.2022/856},
url = {https://doi.org/10.24963/ijcai.2022/856},
}