most citedTANet: A new Paradigm for Global Face Super-resolution via Transformer-CNN Aggregation Network

9 citations · 14 across the 6 of their papers we have counts for

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cs.CV2026

The Second Challenge on Real-World Face Restoration at NTIRE 2026: Methods and Results

Jingkai Wang, Jue Gong, Zheng Chen +50

This paper provides a review of the NTIRE 2026 challenge on real-world face restoration, highlighting the proposed solutions and the resulting outcomes. The challenge focuses on ge…

cs.CV2021★ 9 cited

TANet: A new Paradigm for Global Face Super-resolution via Transformer-CNN Aggregation Network

Yuanzhi Wang, Tao Lu, Yanduo Zhang +4

Recently, face super-resolution (FSR) methods either feed whole face image into convolutional neural networks (CNNs) or utilize extra facial priors (e.g., facial parsing maps, faci…

cs.CV2021★ 4 cited

GLSD: The Global Large-Scale Ship Database and Baseline Evaluations

Zhenfeng Shao, Jiaming Wang, Lianbing Deng +8

In this paper, we introduce a challenging global large-scale ship database (called GLSD), designed specifically for ship detection tasks. The designed GLSD database includes a tota…

cs.CV2021

Pan-sharpening via High-pass Modification Convolutional Neural Network

Jiaming Wang, Zhenfeng Shao, Xiao Huang +3

Most existing deep learning-based pan-sharpening methods have several widely recognized issues, such as spectral distortion and insufficient spatial texture enhancement, we propose…

cs.CV2021★ 1 cited

Unsupervised Remote Sensing Super-Resolution via Migration Image Prior

Jiaming Wang, Zhenfeng Shao, Tao Lu +3

Recently, satellites with high temporal resolution have fostered wide attention in various practical applications. Due to limitations of bandwidth and hardware cost, however, the s…