Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report
Abstract
Video super-resolution has recently become one of the most important mobile-related problems due to the rise of video communication and streaming services. While many solutions have been proposed for this task, the majority of them are too computationally expensive to run on portable devices with limited hardware resources. To address this problem, we introduce the first Mobile AI challenge, where the target is to develop an end-to-end deep learning-based video super-resolution solutions that can achieve a real-time performance on mobile GPUs. The participants were provided with the REDS dataset and trained their models to do an efficient 4X video upscaling. The runtime of all models was evaluated on the OPPO Find X2 smartphone with the Snapdragon 865 SoC capable of accelerating floating-point networks on its Adreno GPU. The proposed solutions are fully compatible with any mobile GPU and can upscale videos to HD resolution at up to 80 FPS while demonstrating high fidelity results. A detailed description of all models developed in the challenge is provided in this paper.
Keywords
Cite
@article{arxiv.2105.08826,
title = {Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report},
author = {Andrey Ignatov and Andres Romero and Heewon Kim and Radu Timofte and Chiu Man Ho and Zibo Meng and Kyoung Mu Lee and Yuxiang Chen and Yutong Wang and Zeyu Long and Chenhao Wang and Yifei Chen and Boshen Xu and Shuhang Gu and Lixin Duan and Wen Li and Wang Bofei and Zhang Diankai and Zheng Chengjian and Liu Shaoli and Gao Si and Zhang Xiaofeng and Lu Kaidi and Xu Tianyu and Zheng Hui and Xinbo Gao and Xiumei Wang and Jiaming Guo and Xueyi Zhou and Hao Jia and Youliang Yan},
journal= {arXiv preprint arXiv:2105.08826},
year = {2021}
}
Comments
Mobile AI 2021 Workshop and Challenges: https://ai-benchmark.com/workshops/mai/2021/. arXiv admin note: substantial text overlap with arXiv:2105.07825. substantial text overlap with arXiv:2105.08629, arXiv:2105.07809, arXiv:2105.08630