Bi-GANs-ST for Perceptual Image Super-resolution

Preprint English OPEN
Luo, Xiaotong; Chen, Rong; Xie, Yuan; Qu, Yanyun; Li, Cuihua;
(2018)
  • Subject: Computer Science - Computer Vision and Pattern Recognition

Image quality measurement is a critical problem for image super-resolution (SR) algorithms. Usually, they are evaluated by some well-known objective metrics, e.g., PSNR and SSIM, but these indices cannot provide suitable results in accordance with the perception of huma... View more
  • References (32)
    32 references, page 1 of 4

    1. Blau, Y., Michaeli, T.: The perception-distortion tradeo . arXiv preprint arXiv:1711.06077 (2017)

    2. Dong, C., Loy, C.C., He, K., Tang, X.: Image super-resolution using deep convolutional networks. IEEE transactions on pattern analysis and machine intelligence 38(2) (2016) 295{307

    3. Kim, J., Kwon Lee, J., Mu Lee, K.: Accurate image super-resolution using very deep convolutional networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition. (2016) 1646{1654

    4. Dong, C., Loy, C.C., Tang, X.: Accelerating the super-resolution convolutional neural network. In: European Conference on Computer Vision, Springer (2016) 391{407

    5. Ledig, C., Theis, L., Huszar, F., Caballero, J., Cunningham, A., Acosta, A., Aitken, A.P., Tejani, A., Totz, J., Wang, Z., et al.: Photo-realistic single image superresolution using a generative adversarial network. In: CVPR. Volume 2. (2017) 4

    6. Lai, W.S., Huang, J.B., Ahuja, N., Yang, M.H.: Deep laplacian pyramid networks for fast and accurate superresolution. In: IEEE Conference on Computer Vision and Pattern Recognition. Volume 2. (2017) 5

    7. Lim, B., Son, S., Kim, H., Nah, S., Lee, K.M.: Enhanced deep residual networks for single image super-resolution. In: The IEEE conference on computer vision and pattern recognition (CVPR) workshops. Volume 1. (2017) 4

    8. Haris, M., Shakhnarovich, G., Ukita, N.: Deep backprojection networks for superresolution. In: Conference on Computer Vision and Pattern Recognition. (2018)

    9. Sajjadi, M.S., Scholkopf, B., Hirsch, M.: Enhancenet: Single image super-resolution through automated texture synthesis. In: Computer Vision (ICCV), 2017 IEEE International Conference on, IEEE (2017) 4501{4510

    10. Blau, Y., Mechrez, R., Timofte, R., Michaeli, T., Zelnik-Manor, L.: 2018 pirm challenge on perceptual image super-resolution. In: arXiv preprint arXiv:1809.07517. (2018)

  • Similar Research Results (2)
  • Related Organizations (3)
  • Metrics
Share - Bookmark