Deep learning-based face super-resolution: A survey
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 …
the resolution of low-resolution (LR) face images to generate high-resolution face images, is …
Weighted gate layer autoencoders
A single dataset could hide a significant number of relationships among its feature set.
Learning these relationships simultaneously avoids the time complexity associated with …
Learning these relationships simultaneously avoids the time complexity associated with …
Biprediction-based video quality enhancement via learning
Convolutional neural networks (CNNs)-based video quality enhancement generally
employs optical flow for pixelwise motion estimation and compensation, followed by utilizing …
employs optical flow for pixelwise motion estimation and compensation, followed by utilizing …
Face super resolution based on attention upsampling and gradient
A Zheng, X Zeng, P Song, Y Mi, Z He - Multimedia Tools and Applications, 2024 - Springer
Abstract Face Super-Resolution (SR) is a specific domain SR task, which is to reconstruct
low-resolution (LR) face images. Recently, many face super-resolution methods based on …
low-resolution (LR) face images. Recently, many face super-resolution methods based on …
Nonlinear loose coupled non-negative matrix factorization for low-resolution image recognition
In the existing coupled map**-based methods for low-resolution image recognition
(LRIR), the potential relationship between the high-and low-resolution images conforming to …
(LRIR), the potential relationship between the high-and low-resolution images conforming to …