CNN Has Quietly Become A Documentary Powerhouse

CNN may be best known for breaking news, but it's also built a prolific documentary unit, producing 150+ seasons of original ...
Smithsonian Magazine

Could We Mitigate Super El Niños by Artificially Changing the Climate? A New Study Indicates Yes

Researchers used computer models to see what would have happened had scientists caused marine cloud brightening in the face ...
bjo.bmj

Creating realistic anterior segment optical coherence tomography images using generative adversarial networks

Aims To develop a generative adversarial network (GAN) capable of generating realistic high-resolution anterior segment optical coherence tomography (AS-OCT) images. Methods This study included 142 ...
IEEE

Anime4K: A Hybrid CNN–Transformer Network for Anime Super-Resolution

Abstract: Although anime super-resolution (SR) has garnered increasing interest in recent years, many existing approaches still inherit design principles from photorealistic imagery, overlooking the ...
Hosted on MSN

Is Radeon Super Resolution (RSR) worth using?

Is Radeon Super Resolution (RSR) worth using? amd announced Radeon Super Resolution (RSR) back at CES, and it has finally arrived in the latest driver. It uses the same upscaling algorithm as fsr but ...
Hosted on MSN

Groundbreaking for new mixed-use project in South LA

Phase one of the project includes preparing 92 residential lots for a mixed-use community. Pax Jolie-Pitt attends Pitt family event despite estrangement Watch the moment bombs release from one of the ...
GitHub

Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network

This is a tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) ...
Frontiers

SuperTac - tactile data super-resolution via dimensionality reduction

The advancement of tactile sensing in robotics and prosthetics is constrained by the trade-off between spatial and temporal resolution in artificial tactile sensors. To address this limitation, we ...
Frontiers

Learning hybrid dynamic transformers for underwater image super-resolution

Underwater image super-resolution is vital for enhancing the clarity and detail of underwater imagery, enabling improved analysis, navigation, and exploration in underwater environments where visual ...