Face hallucination using multisource references and cross‐scale dual residual fusion mechanism
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23024
Abstract: There is an increasing interest in enhancing the quality of low‐resolution (LR) facial images for various social life applications. Existing methods often use domain‐specific prior knowledge, which is effective in improving the face super‐resolution model's… read more here.
Keywords: face super; cross scale; face; super resolution ... See more keywords
Face super-resolution via nonlinear adaptive representation
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04652-5
Abstract: Face super-resolution is an example of super-resolution technique, where it takes one or multiple observed low-resolution images and then converts them to high-resolution image. Learning-based face super-resolution depends on prior information from training database. Most… read more here.
Keywords: resolution; super resolution; face super; adaptive representation ... See more keywords
A robust face super-resolution algorithm and its application in low-resolution face recognition system
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09072-5
Abstract: In real-world surveillance scenario, the face recognition (FR) systems pose a lot of challenges due to the captured low-resolution (LR) and noisy probe images. A new face super-resolution (SR) algorithm is proposed to design a… read more here.
Keywords: resolution; low resolution; face super; face ... See more keywords
Edge and Identity Preserving Network for Face Super-Resolution
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.03.048
Abstract: Face super-resolution has become an indispensable part in security problems such as video surveillance and identification system, but the distortion in facial components is a main obstacle to overcoming the problems. To alleviate it, most… read more here.
Keywords: resolution; super resolution; face super; identity ... See more keywords
Robust Face Super-Resolution via Locality-Constrained Low-Rank Representation
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2717963
Abstract: Learning-based face super-resolution relies on obtaining accurate a priori knowledge from the training data. Representation-based approaches (e.g., sparse representation-based and neighbor embedding-based schemes) decompose the input images using sophisticated regularization techniques. They give reasonably good… read more here.
Keywords: super resolution; face super; low rank; face ... See more keywords
Component Semantic Prior Guided Generative Adversarial Network for Face Super-Resolution
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2921859
Abstract: Face super-resolved (SR) images aid human perception. The state-of-the-art face SR methods leverage the spatial location of facial components as prior knowledge. However, it remains a great challenge to generate natural textures. In this paper,… read more here.
Keywords: face; component semantic; face super; semantic prior ... See more keywords
Reference Based Face Super-Resolution
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2934078
Abstract: Despite the great progress of image super-resolution in recent years, face super-resolution has still much room to explore good visual quality while preserving original facial attributes for larger up-scaling factors. This paper investigates a new… read more here.
Keywords: resolution; reference based; face super; super resolution ... See more keywords
GFNet: A Gradient Information Compensation-Based Face Super-Resolution Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3143499
Abstract: Face super-resolution (FSR) is defined as the generation of high-resolution face images from low-resolution face images. Existing FSR approaches usually improve the performance by combining deep learning with additional tasks such as face parsing and… read more here.
Keywords: face super; network; face; super resolution ... See more keywords
Propagating Facial Prior Knowledge for Multitask Learning in Face Super-Resolution
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3181828
Abstract: Existing face hallucination methods always achieve improved performance through regularizing the model with facial prior. Most of them always estimate facial prior information first and then leverage it to help the prediction of the target… read more here.
Keywords: face super; face; face image; resolution face ... See more keywords
Features Guided Face Super-Resolution via Hybrid Model of Deep Learning and Random Forests
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3069554
Abstract: Face hallucination or super-resolution is a practical application of general image super-resolution which has been recently studied by many researchers. The challenge of good face hallucination comes from a variety of poses, illuminations, facial expressions,… read more here.
Keywords: resolution; super resolution; face super; image ... See more keywords
Attention-Driven Graph Neural Network for Deep Face Super-Resolution
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3212311
Abstract: With the help of convolutional neural networks (CNNs), deep learning-based methods have achieved remarkable performance in face super-resolution (FSR) task. Despite their success, most of the existing methods neglect non-local correlations of face images, leaving… read more here.
Keywords: face super; attention driven; driven graph; super resolution ... See more keywords