We present a generic image-to-image translation framework, pixel2style2pixel (pSp). Our pSp framework is based on a novel encoder network that directly generates a series of style vectors which are ...

Abstract: Unsupervised anomaly detection (UAD) aims to recognize anomalous images based on the training set that contains only normal images. In medical image analysis, UAD benefits from leveraging ...

Abstract: Single image super-resolution (SR) aims at reconstructing high-resolution (HR) images from low-resolution (LR) ones. One of the most key issues is to recover finer image details of LR images ...

Google has launched a new JPEG image encoder named JPEGli. This development comes after the company's previous unsuccessful attempt to replace JPG, PNG, and GIF in the picture format space WebP.

Trinh Man Hoang, Jinjia Zhou, Yibo Fan. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA, USA, 2020, pp. 619-623 ...

Recent studies have shown that convolutional neural networks (CNNs) can be more accurate, efficient and even deeper on their training if they include direct connections from the layers close to the ...

Who needs memory cards when you have DNA? A team of scientists has been able to store images within the life-defining molecules then retrieve them perfectly. Researchers from the University of ...