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This work aims at designing a lightweight convolutional neural network for image super resolution (SR).
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Kim, J., Kwon Lee, J., Mu Lee, K.: Deeply-recursive convolutional network for image super-resolution. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 1637–1645 (2016)
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Shi, W., Caballero, J., Huszár, F., Totz, J., Aitken, A.P., Bishop, R., Rueckert, D., Wang, Z.: Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 1874–1883 (2016)
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Lai, W.S., Huang, J.B., Ahuja, N., Yang, M.H.: Deep laplacian pyramid networks for fast and accurate super-resolution. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 624–632 (2017)
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Ledig, C., Theis, L., Huszár, F., Caballero, J., Cunningham, A., Acosta, A., Aitken, A., Tejani, A., Totz, J., Wang, Z., et al.: Photo-realistic single image super-resolution using a generative adversarial network. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 4681–4690 (2017)
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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 (July 2017)
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Tai, Y., Yang, J., Liu, X.: Image super-resolution via deep recursive residual network. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 3147–3155 (2017)
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Tai, Y., Yang, J., Liu, X., Xu, C.: Memnet: A persistent memory network for image restoration. In: Proceedings of the IEEE international conference on computer vision. pp. 4539–4547 (2017)
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Hui, Z., Gao, X., Yang, Y., Wang, X.: Lightweight image super-resolution with information multi-distillation network. In: Proceedings of the 27th ACM International Conference on Multimedia. pp. 2024–2032 (2019)
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Zhang, K., Gu, S., Timofte, R., et al.: Aim 2019 challenge on constrained super-resolution: Methods and results. In: IEEE International Conference on Computer Vision Workshops (2019)
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Zhang, W., Liu, Y., Dong, C., Qiao, Y.: Ranksrgan: Generative adversarial networks with ranker for image super-resolution. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 3096–3105 (2019)
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El Helou, M., Zhou, R., Süsstrunk, S., Timofte, R., et al.: AIM 2020: Scene relighting and illumination estimation challenge. In: European Conference on Computer Vision Workshops (2020)
2020
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Timofte, R., Agustsson, E., Van Gool, L., Yang, M.H., Zhang, L.: Ntire 2017 challenge on single image super-resolution: Methods and results. In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops. pp. 114–125 (2017)
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Wang, X., Yu, K., Wu, S., Gu, J., Liu, Y., Dong, C., Qiao, Y., Change Loy, C.: Esrgan: Enhanced super-resolution generative adversarial networks. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 0–0 (2018)
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Zhang, Y., Li, K., Li, K., Wang, L., Zhong, B., Fu, Y.: Image super-resolution using very deep residual channel attention networks. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 286–301 (2018)
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Fuoli, D., Huang, Z., Gu, S., Timofte, R., et al.: AIM 2020 challenge on video extreme super-resolution: Methods and results. In: European Conference on Computer Vision Workshops (2020)
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Ntavelis, E., Romero, A., Bigdeli, S.A., Timofte, R., et al.: AIM 2020 challenge on image extreme inpainting. In: European Conference on Computer Vision Workshops (2020)
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Son, S., Lee, J., Nah, S., Timofte, R., Lee, K.M., et al.: AIM 2020 challenge on video temporal super-resolution. In: European Conference on Computer Vision Workshops (2020)
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Wang, Q., Wu, B., Zhu, P., Li, P., Zuo, W., Hu, Q.: Eca-net: Efficient channel attention for deep convolutional neural networks. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 11534–11542 (2020)
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Wang, Z., Chen, J., Hoi, S.C.: Deep learning for image super-resolution: A survey. IEEE Transactions on Pattern Analysis and Machine Intelligence (2020)
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Wei, P., Lu, H., Timofte, R., Lin, L., Zuo, W., et al.: AIM 2020 challenge on real image super-resolution. In: European Conference on Computer Vision Workshops (2020)
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Zhang, K., Danelljan, M., Li, Y., Timofte, R., et al.: AIM 2020 challenge on efficient super-resolution: Methods and results. In: European Conference on Computer Vision Workshops (2020)
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