BriefGPT.xyz
May, 2021
极轻量化鲁棒实时单图像超分辨率算法在移动设备上的应用
Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices
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Mustafa Ayazoglu
TL;DR
本文提出了一种硬件限制感知、极其轻量级、量化鲁棒、实时超分辨率网络 (XLSR),它是一种受到 root 模块的启发,旨在解决单图像超分辨率问题的建模方法,并在 Div2K 验证集上取得了超过 VDSR 的成果,在 2021 年移动 AI 实时单图像超分辨率挑战赛中得胜。
Abstract
single-image super resolution
(SISR) is a classical computer vision problem and it has been studied for over decades. With the recent success of
deep learning
methods, recent work on SISR focuses solutions with <
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