Distilling Resolution-robust Identity Knowledge for Texture-Enhanced Face Hallucination

Author:

Bao Qiqi1,Zhu Rui2,Gang Bowen3,Zhao Pengyang1,Yang Wenming1,Liao Qingmin1

Affiliation:

1. Tsinghua University, Shenzhen, China

2. City University, London, United Kingdom

3. Fudan University, Shanghai, China

Funder

the Natural Science Foundation of Guangdong Province

the Special Foundation for the Development of Strategic Emerging Industries of Shenzhen

the Natural Science Foundation of China

Publisher

ACM

Reference53 articles.

1. Exploring Factors for Improving Low Resolution Face Recognition

2. Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network

3. Yancheng Bai Yongqiang Zhang Mingli Ding and Bernard Ghanem. 2018. Finding tiny faces in the wild with generative adversarial network. In Pro- ceedings of the IEEE Conference on Computer Vision and Pattern Recognition 21--30. Yancheng Bai Yongqiang Zhang Mingli Ding and Bernard Ghanem. 2018. Finding tiny faces in the wild with generative adversarial network. In Pro- ceedings of the IEEE Conference on Computer Vision and Pattern Recognition 21--30.

4. Hallucinating faces

5. Learning Spatial Attention for Face Super-Resolution

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