Chinese Optics Letters, Volume. 23, Issue 9, 090501(2025)
High-quality hologram generation based on a complex-valued hierarchical multi-fusion neural network
[30] M. Zheng, L. Sun, J. Dong et al. SMFANet: a lightweight self-modulation feature aggregation network for efficient image super-resolution. European Conference on Computer Vison, 375(2024).
[33] D. P. Kingma, J. Ba. Adam: a method for stochastic optimization. International Conference on Learning Representations, 6980(2014).
[35] R. Timofte, E. Agustsson, L. GoolVan et al. Ntire 2017 challenge on single image super-resolution: methods and results. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 125(2017).
[36] E. Agustsson, R. Timofte. Ntire 2017 challenge on single image super-resolution: dataset and study. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 135(2017).
Get Citation
Copy Citation Text
Jiahui Fu, Wenqiang Wan, Yunrui Wang, Yanfeng Su, "High-quality hologram generation based on a complex-valued hierarchical multi-fusion neural network," Chin. Opt. Lett. 23, 090501 (2025)
Category: Diffraction, Gratings, and Holography
Received: Mar. 26, 2025
Accepted: May. 12, 2025
Posted: May. 14, 2025
Published Online: Aug. 21, 2025
The Author Email: Wenqiang Wan (wqwan_ecjtu@163.com)