Compressing the file size of images and videos leads to reducing Internet traffic, so many engineers are reconsidering compression technology. Martin Lumiste, who works on the development of real-time ...

EPFL researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other ...

Image and video compression methods are the core technologies that enable digital broadcasting, streaming, as well as image and video sharing on social media. Those compression methods have emerged ...

If you read this site, chances are pretty good that you've probably played around with a neural image upscaler at some point. These programs, like the popular "waifu2x", use a pre-trained neural ...

It's still early, but 2023 looks like it'll be remembered as the year 8GB of GPU memory met a premature demise. Just last year, 8GB was fine for most games. But even now, we've already seen multiple ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

An enthusiast tested NVIDIA’s Neural Texture Compression in combination with Microsoft DirectX Raytracing 1.2 — the result is fantastic. X user @opinali managed to test neural texture compressionwith ...