Semantic Encoder Guided Generative Adversarial Face Ultra-Resolution Network

@article{Wang2022SemanticEG,
  title={Semantic Encoder Guided Generative Adversarial Face Ultra-Resolution Network},
  author={Xiang Wang and Yimin Yang and Qixiang Pang and Xiao-Qiang Lu and Yu Liu and Shan Du},
  journal={ArXiv},
  year={2022},
  volume={abs/2211.10532}
}
—Face super-resolution is a domain-specific image super-resolution, which aims to generate High-Resolution (HR) face images from their Low-Resolution (LR) counterparts. In this paper, we propose a novel face super-resolution method, namely Semantic Encoder guided Generative Adversarial Face Ultra- Resolution Network (SEGA-FURN) to ultra-resolve an unaligned tiny LR face image to its HR counterpart with multiple ultra- upscaling factors (e.g., 4× and 8×). The proposed network is composed of a… 

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