Search results with tag "Single image super"
and Super-Resolution arXiv:1603.08155v1 [cs.CV] 27 Mar 2016
arxiv.orgwith single-image super-resolution, where replacing a per-pixel loss with a perceptual loss gives visually pleasing results. Keywords: Style transfer, super-resolution, deep learning 1 Introduction Many classic problems can be framed as image transformation tasks, where a system receives some input image and transforms it into an output image ...
Deep Unfolding Network for Image Super-Resolution
openaccess.thecvf.comSingle image super-resolution (SISR) refers to the pro-cess of recovering the natural and sharp detailed high-resolution(HR) counterpart from a low-resolution (LR) im-age. It is one of the classical ill-posed inverse problems in low-level computer vision and has a wide range of real-world applications, such as enhancing the image visual
Generative Adversarial Networks arXiv:1809.00219v2 [cs.CV ...
arxiv.orgAbstract. The Super-Resolution Generative Adversarial Network (SR-GAN) [1] is a seminal work that is capable of generating realistic textures during single image super-resolution. However, the hallucinated details are often accompanied with unpleasant artifacts. To further enhance the visual quality, we thoroughly study three key components of ...
Image Super-Resolution via Deep Recursive Residual Network
openaccess.thecvf.comSingle Image Super-Resolution (SISR) is a classic com-puter vision problem, which aims to recover a high-resolution (HR) image from a low-resolution (LR) image. Since SISR restores the high-frequency information, it is widely used in applications such as medical imaging [26], satellite imaging [29], security and surveillance [37], where