Exploiting multi-scale parallel self-attention and local variation via dual-branch transformer-CNN structure for face super-resolution
Recently, deep learning technique has been widely employed to deal with face super-
resolution (FSR) problem. It aims to predict the nonlinear relationship between the low …
resolution (FSR) problem. It aims to predict the nonlinear relationship between the low …
Hallucinating face image by regularization models in high-resolution feature space
In this paper, we propose two novel regularization models in patch-wise and pixel-wise,
respectively, which are efficient to reconstruct high-resolution (HR) face image from low …
respectively, which are efficient to reconstruct high-resolution (HR) face image from low …
SSR2: Sparse signal recovery for single-image super-resolution on faces with extreme low resolutions
Automatic face recognition in the wild still suffers from low-quality, low resolution, noisy, and
occluded input images that can severely impact identification accuracy. In this paper, we …
occluded input images that can severely impact identification accuracy. In this paper, we …
Bionic face sketch generator
Face sketch synthesis is a crucial technique in digital entertainment. However, the existing
face sketch synthesis approaches usually generate face sketches with coarse structures …
face sketch synthesis approaches usually generate face sketches with coarse structures …
Context-patch representation learning with adaptive neighbor embedding for robust face image super-resolution
Representation learning steered robust face image super-resolution (FSR) methods have
attracted extensive attention in the past few decades. Most previous methods were devoted …
attracted extensive attention in the past few decades. Most previous methods were devoted …
Face hallucination via coarse-to-fine recursive kernel regression structure
In recent years, patch-based face hallucination algorithms have attracted considerable
interest due to their effectiveness. These approaches produce a high-resolution (HR) face …
interest due to their effectiveness. These approaches produce a high-resolution (HR) face …
Monozygotic twin face recognition: An in-depth analysis and plausible improvements
V Sundaresan, SA Shanthi - Image and vision computing, 2021 - Elsevier
Monozygotic twins, commonly known as identical twins, share extreme facial resemblance
that they deceive the majority of the prevailing face recognition systems. Hence, the facial …
that they deceive the majority of the prevailing face recognition systems. Hence, the facial …
Hallucinating color face image by learning graph representation in quaternion space
Recently, learning-based representation techniques have been well exploited for grayscale
face image hallucination. For color images, the previous methods only handle the luminance …
face image hallucination. For color images, the previous methods only handle the luminance …
Learning image profile enhancement and denoising statistics priors for single-image super-resolution
Single-image super-resolution (SR) has been widely used in computer vision applications.
The reconstruction-based SR methods are mainly based on certain prior terms to regularize …
The reconstruction-based SR methods are mainly based on certain prior terms to regularize …
Sequential gating ensemble network for noise robust multiscale face restoration
Face restoration from low resolution and noise is important for applications of face analysis
recognition. However, most existing face restoration models omit the multiple scale issues in …
recognition. However, most existing face restoration models omit the multiple scale issues in …