ML Anthology

Real-Time Portrait Stylization on the Edge

Yanyu Li, Xuan Shen, Geng Yuan, Jiexiong Guan, Wei Niu, Hao Tang, Bin Ren, Yanzhi Wang
IJCAI 2022 pp. 5928-5931
doi:10.24963/IJCAI.2022/856 /ijcai/2022/li2022ijcai-real/

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.

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Cite

Text

Li et al. "Real-Time Portrait Stylization on the Edge." International Joint Conference on Artificial Intelligence, 2022. doi:10.24963/IJCAI.2022/856

Markdown

[Li et al. "Real-Time Portrait Stylization on the Edge." International Joint Conference on Artificial Intelligence, 2022.](https://mlanthology.org/ijcai/2022/li2022ijcai-real/) doi:10.24963/IJCAI.2022/856

BibTeX

@inproceedings{li2022ijcai-real,
  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 = {International Joint Conference on Artificial Intelligence},
  year      = {2022},
  pages     = {5928-5931},
  doi       = {10.24963/IJCAI.2022/856},
  url       = {https://mlanthology.org/ijcai/2022/li2022ijcai-real/}
}