Abstract: Single image super-resolution (SISR) aims to reconstruct a high-resolution image from its low-resolution observation. Recent deep learning-based SISR models show high performance at the ...

Katelyn is a writer with CNET covering artificial intelligence, including chatbots, image and video generators. Her work explores how new AI technology is infiltrating our lives, shaping the content ...

This project presents an advanced image compression system designed to enhance the standard JPEG algorithm by introducing a more perceptually-driven approach. The traditional JPEG standard relies on a ...

Black Forest Labs introduces FLUX.1 Kontext, optimized with NVIDIA's TensorRT for enhanced image editing performance using low-precision quantization on RTX GPUs. Black Forest Labs has unveiled its ...

Reverse image searching is a quick and easy way to trace the origin of an image, identify objects or landmarks, find higher-resolution alternatives or check if a photo has been altered or used ...

One of the most widely used techniques to make AI models more efficient, quantization, has limits — and the industry could be fast approaching them. In the context of AI, quantization refers to ...

Our self-image plays a critical role in shaping our identity and influencing how we engage with the world. It encompasses not just our physical appearance, but also the way we perceive ourselves ...

Abstract: In recent years, deep learning technology has made significant progress in the field of target detection and recognition in synthetic aperture radar (SAR) images, yet its application still ...