Deep learning-based face super-resolution: A survey

J Jiang, C Wang, X Liu, J Ma - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Face super-resolution (FSR), also known as face hallucination, which is aimed at enhancing
the resolution of low-resolution (LR) face images to generate high-resolution face images, is …

Restoreformer: High-quality blind face restoration from undegraded key-value pairs

Z Wang, J Zhang, R Chen… - Proceedings of the …, 2022 - openaccess.thecvf.com
Blind face restoration is to recover a high-quality face image from unknown degradations. As
face image contains abundant contextual information, we propose a method …

RestoreFormer++: Towards real-world blind face restoration from undegraded key-value pairs

Z Wang, J Zhang, T Chen, W Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Blind face restoration aims at recovering high-quality face images from those with unknown
degradations. Current algorithms mainly introduce priors to complement high-quality details …

E-ComSupResNet: Enhanced face super-resolution through compact network

V Chudasama, K Nighania, K Upla… - … and Identity Science, 2021 - ieeexplore.ieee.org
Practical systems such as in surveillance applications capture Low-Resolution (LR) face
images due to the wider angle of imaging or longer stand-off distance to the camera …

Perceptual quality improvement in videoconferencing using keyframes-based gan

L Agnolucci, L Galteri, M Bertini… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In the latest years, videoconferencing has taken a fundamental role in interpersonal
relations, both for personal and business purposes. Lossy video compression algorithms are …

Faceformer: Scale-aware blind face restoration with transformers

A Li, G Li, L Sun, X Wang - arXiv preprint arXiv:2207.09790, 2022 - arxiv.org
Blind face restoration usually encounters with diverse scale face inputs, especially in the
real world. However, most of the current works support specific scale faces, which limits its …