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Image Super-Resolution (SR) is an important class of image processing techniques to enhance the resolution of images and videos in computer vision.
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Y. Li, V. Tsiminaki, R. Timofte, M. Pollefeys, and L. V. Gool, “3d appearance super-resolution with deep learning,” in CVPR , 2019
2019
Closest in time.
S. Zhang, Y. Lin, and H. Sheng, “Residual networks for light field image super-resolution,” in CVPR , 2019
2019
Closest in time.
H. Liu, K. Simonyan, and Y. Yang, “Darts: Differentiable architecture search,” ICLR , 2019
2019
Closest in time.