Light-programmed system projects 28-layer 3D images in single shot

Researchers at the UCLA Samueli School of Engineering and CNSI (California NanoSystems Institute), led by Professor Aydogan ...
GitHub

Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation

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 ...
IEEE

Dual-Streams Edge Driven Encoder-Decoder Network for Image Super-Resolution

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 ...
Nature

Image processing with Optical matrix vector multipliers implemented for encoding and decoding tasks

This study introduces an optical neural network (ONN)-based autoencoder for efficient image processing, utilizing specialized optical matrix-vector multipliers for both encoding and decoding tasks. To ...
Nature

Alternate encoder and dual decoder CNN-Transformer networks for medical image segmentation

Automatic segmentation of anatomical structures (such as organs) and lesion regions in medical images has become a critical task in medical image analysis and is widely used in clinical diagnosis and ...
newsbytesapp.com

Google unveils new JPEG encoder for enhanced image quality

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.
IEEE

Encoder-Decoder Contrast for Unsupervised Anomaly Detection in Medical Images

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 ...
the-decoder

BLIVA: AI gets much better at reading text in images

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, ...
the-decoder

DeepFloyd IF is a crazy good text-to-image model - and open-source

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 ...
Europe PMC

An Encoder-Decoder Network For Direct Image Reconstruction On Sinograms of A Long Axial Field of View PET

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 ...