Nvidia's new AI tool to breathe new life into streaming video

Heavy compression can mean the video will be blocky and lose sharpness and clarity. Super Resolution will use its AI-based algorithms to fix blockiness, ringing, banding, and washouts from loss of detail.

AI upscaling of an image is achieved by putting low-resolution sources such as video, through an upscaler running on an AI model. The model then predicts what the image would look like in high resolution, and produces the results.

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This calculation happens in real-time and uses the power of Nvidia's Tensor Cores on the GPU to process the information. The result is superimposed with an image derived from traditional non-AI-based upscaling to correct errors and increase the sharpness.

Nvidia says it has trained its deep learning AI network on a wide range of content with various levels of compression. Once the model has learned what these artifacts look like, they are used as references in real-time scenarios.

The technology works with RTX 30 series and 40 series cards and will upscale any streaming content running in Google's Chrome browser or Microsoft's Edge browser.