Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural

时间 2021-01-17

标签论文综述超分辨率重建繁體版

原文原文链接

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network 摘要近来，基于深层神经网络的几种模型在单像超分辨率的重构精度和计算性能方面取得了巨大的成功。在这些方法中，低分辨率（LR）输入图像在重建之前使用单个滤波器（通常是双三次插值）

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1. 【论文阅读】Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel......
2. 【超分辨率】Efficient Sub-Pixel Convolutional Neural Network
3. An Efficient Visible Light Positioning Method Using Single LED Luminaire
4. ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
5. EffNet: An Efficient Structure for Convolutional Neural Networks
6. Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning
7. Spatially Adaptive Residual Networks for Efficient Image and Video Deblurring
8. A Cascaded Convolutional Neural Network for Single Image Dehazing
9. Image and Video Compression Techniques
10. Face Video Generation from a Single Image and Landmarks

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