Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation

@article{Jo2018DeepVS,
  title={Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation},
  author={Younghyun Jo and Seoung Wug Oh and Jaeyeon Kang and Seon Joo Kim},
  journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2018},
  pages={3224-3232}
}
Video super-resolution (VSR) has become even more important recently to provide high resolution (HR) contents for ultra high definition displays. While many deep learning based VSR methods have been proposed, most of them rely heavily on the accuracy of motion estimation and compensation. We introduce a fundamentally different framework for VSR in this paper. We propose a novel end-to-end deep neural network that generates dynamic upsampling filters and a residual image, which are computed… CONTINUE READING

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