Feature-attention module for context-aware image-to-image translation

Author:

Bai JingORCID,Chen Ran,Liu Min

Funder

National Natural Science Foundation of China

CAS “Light of West China” Program

First-class discipline construction in Ningxia universities: Electronic Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Reference38 articles.

1. Chao, D., Chen, C.L., Kaiming, H., Xiaoou, T.: Learning a deep convolutional network for image super-resolution. In: ECCV (2014)

2. Mikaeli, E., Aghagolzadeh, A., Azghani, M.: Single-image super-resolution via patch-based and group-based local smoothness modeling. Vis. Comput. 36, 1573–1589 (2020)

3. Ma, T., Tian, W.: Back-projection-based progressive growing generative adversarial network for single image super-resolution. Vis. Comput. (2020). https://doi.org/10.1007/s00371-020-01843-3

4. Richard, Z., Phillip, I., Alexei, A.E.: Colorful image colorization. In: ECCV (2016)

5. Deepak, P., Philipp, K., Jeff, D., Trevor, D., Alexei, A.E.: Context encoders: feature learning by inpainting. In: CVPR (2016)

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