Researchers at the UCLA Samueli School of Engineering and CNSI (California NanoSystems Institute), led by Professor Aydogan ...
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: 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.
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 ...
BLIVA is a vision language model that excels at reading text in images, making it useful in real-world scenarios and applications in many industries. Researchers at UC San Diego have developed BLIVA, ...
DeepFloyd IF is a text-to-image model that handles text particularly well and is basically an open-source version of Google's Imagen. In May 2022, Google demonstrated Imagen, a text-to-image model ...
Deep learning is an emerging reconstruction method for positron emission tomography (PET) that can tackle complex PET corrections in an integrated procedure. This study optimized the direct PET ...