3 accepted papers
Single-image super-resolution (SISR) is a very important and classic problem of the computer vision community. Although a lot of SISR methods have been proposed, few studies have been conducted to address the quality assessment of SISR methods. In this paper, we proposed a deep learning based no-ref…
Face hallucination aims to generate a high resolution face from a low resolution one. Generic super resolution methods can not solve this problem well, because human face has a strong structure. With the rapid development of the deep learning technique, some convolutional neural networks (CNNs) mode…
Convolutional neural networks (CNNs) have been widely used in computer vision community. Single image super-resolution (SISR) is a classic computer vision problem, which aims to output a high-resolution image from a low-resolution one. In recent years, CNNs-based SISR methods emerged and achieved a…