OpenAI's new AI image model isn't a side quest. It's the company's bet on the creative part of its super app future. Katelyn ...
With 3,840 x 3,840 pixels per eye, the Crystal Super is already a super-sharp VR headset, but the 57PPD pushes it to new ...
Researchers used the world's fastest supercomputer for open science to train an artificial intelligence model that captures ...
Abstract: Leaf Area Index (LAI) is a key parameter in analyzing land-atmosphere processes. Several LAI products with different spatial resolutions have been generated using physical methods, or ...
Abstract: Image super resolution focuses on increasing the spatial resolution of low-quality images and enhancing their visual quality. Since the image degradation process is unknown in real-life ...
Recently, Assoc. Prof. Bo Peng (Northwestern Polytechnical University) and Prof. Lin Li (Xiamen University), et ...
Abstract: This paper proposes an approach for super-resolution of images corrupted by impulse noise by integrating iterative image reconstruction with convolutional neural networks (CNNs). While CNNs ...
NASA released the very first images taken by astronauts aboard the Artemis II Orion capsule as they are making their way to the moon. The stunning pictures were taken by mission commander Reid Wiseman ...
Abstract: With the rapid development of micro/nano technology, the requirements for high-resolution images have become increasingly stringent. However, conventional microscopic imaging suffers from ...
Abstract: Magnetic resonance imaging (MRI) is crucial in clinical diagnosis. Image super-resolution techniques, which can improve MRI image quality without hardware modifications, are a promising ...
Abstract: Deep convolutional neural networks (CNNs) have been popularly adopted in image super-resolution (SR). However, deep CNNs for SR often suffer from the instability of training, resulting in ...
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