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of 32
pro vyhledávání: '"Lu, Wanglong"'
Autor:
Wang, Tao, Lu, Wanglong, Zhang, Kaihao, Luo, Wenhan, Kim, Tae-Kyun, Lu, Tong, Li, Hongdong, Yang, Ming-Hsuan
Existing single image reflection removal (SIRR) methods using deep learning tend to miss key low-frequency (LF) and high-frequency (HF) differences in images, affecting their effectiveness in removing reflections. To address this problem, this paper
Externí odkaz:
http://arxiv.org/abs/2402.02374
Recently, numerous tensor singular value decomposition (t-SVD)-based tensor recovery methods have shown promise in processing visual data, such as color images and videos. However, these methods often suffer from severe performance degradation when c
Externí odkaz:
http://arxiv.org/abs/2311.13958
Autor:
Lu, Wanglong, Jiang, Xianta, Jin, Xiaogang, Yang, Yong-Liang, Gong, Minglun, Wang, Tao, Shi, Kaijie, Zhao, Hanli
Image inpainting is the task of filling in missing or masked region of an image with semantically meaningful contents. Recent methods have shown significant improvement in dealing with large-scale missing regions. However, these methods usually requi
Externí odkaz:
http://arxiv.org/abs/2304.12035
Publikováno v:
Pattern Recognition, 2023
Image restoration under hazy weather condition, which is called single image dehazing, has been of significant interest for various computer vision applications. In recent years, deep learning-based methods have achieved success. However, existing im
Externí odkaz:
http://arxiv.org/abs/2212.11473
Autor:
Lu, Wanglong, Zhao, Hanli, Jiang, Xianta, Jin, Xiaogang, Yang, Yongliang, Wang, Min, Lyu, Jiankai, Shi, Kaijie
We present EXE-GAN, a novel exemplar-guided facial inpainting framework using generative adversarial networks. Our approach can not only preserve the quality of the input facial image but also complete the image with exemplar-like facial attributes.
Externí odkaz:
http://arxiv.org/abs/2202.06358
Publikováno v:
In Pattern Recognition January 2024 145
Publikováno v:
In Displays December 2022 75
Publikováno v:
In Neurocomputing 6 November 2021 463:623-636
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Akademický článek
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