18 citations · 19 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 18 cited
TGFuse: An Infrared and Visible Image Fusion Approach Based on Transformer and Generative Adversarial Network
Dongyu Rao, Xiao-Jun Wu, Tianyang Xu
The end-to-end image fusion framework has achieved promising performance, with dedicated convolutional networks aggregating the multi-modal local appearance. However, long-range de…
cs.CV2021★ 1 cited
UMFA: A photorealistic style transfer method based on U-Net and multi-layer feature aggregation
D. Y. Rao, X. J. Wu, H. Li +2
In this paper, we propose a photorealistic style transfer network to emphasize the natural effect of photorealistic image stylization. In general, distortion of the image content a…