Edges look sharper, hair looks scruffier and landscapes pop with striking clarity. The deployed AI model can then take low-resolution video and produce incredible sharpness and enhanced details that no traditional scaler can recreate. Using AI to upscale streamed video makes lower-resolution images fit with unrivaled crispness. 4K displays can muddy visuals by having to stretch lower-resolution images to fit their screen. To make these predictions with high accuracy, a neural network model must be trained on countless images at different resolutions. The Evolution of AI UpscalingĪI upscaling is the process of converting lower-resolution media to a higher resolution by putting low-resolution images through a deep learning model to predict the high-resolution versions. RTX VSR is available now as part of the latest GeForce Game Ready Driver, which delivers the best experience for new game launches like Atomic Heart and THE FINALS closed beta.

Just like putting on a pair of prescription glasses can instantly snap the world into focus, RTX Video Super Resolution gives viewers on GeForce RTX 40 and 30 Series PCs a clear picture into the world of streaming video. The AI removes blocky compression artifacts and improves the video’s sharpness and clarity. With RTX VSR, GeForce RTX 40 and 30 Series GPU users can tap AI to upscale lower-resolution content up to 4K, matching their display resolution. Most browsers use basic upscaling techniques, which result in final images that are soft or blurry.

However, when viewers use displays higher than 1080p - as do many PC users - the browser must scale the video to match the resolution of the display. And 90% of that content streams at 1080p or lower, including from popular sources like, YouTube, Netflix, Disney+ and Hulu. Nearly 80% of internet bandwidth today is streaming video.

Streaming video on PCs through Google Chrome and Microsoft Edge browsers is getting a GeForce RTX-sized upgrade today with the release of RTX Video Super Resolution (VSR).

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