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Video super resolution (VSR) is used in AI media enhancement to convert low-resolution video to high-resolution. BasicVSR is a public AI algorithm. We have enhanced the public model to achieve better visual quality and less computational complexity. The performance of BasicVSR inference has also been optimized for Intel Data Center GPU Flex 170.

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OpenVisualCloud/Video-Super-Resolution-Library.Enhanced-BasicVSR

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Enhanced BasicVSR (iVSR)

Video super resolution (VSR) is widely used in AI media enhancement domain to convert low-resolution video to high-resolution.

BasicVSR is a public AI-based VSR algorithm. For details of public BasicVSR, check out the paper.

We have enhanced the public model to achieve better visual quality and less computational complexity. The performance of BasicVSR inference has also been optimized for Intel GPU. Now, 2x Enhanced BasicVSR can be run on both Intel CPU and Intel Data Center GPU Flex 170 (aka ATS-M1 150W) with OpenVINO and FFmpeg.

How to evaluate

Please expect pre-production quality of current solution.

Get models

Please contact us for FP32/INT8 Enhanced BasicVSR models. Will provide links to download the models soon.

Run with OpenVINO

Refer to the guide here.

Run with FFmpeg

Refer to the guide here.

License

Enhanced BasicVSR is licensed under the BSD 3-clause license. See LICENSE for details.

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Video super resolution (VSR) is used in AI media enhancement to convert low-resolution video to high-resolution. BasicVSR is a public AI algorithm. We have enhanced the public model to achieve better visual quality and less computational complexity. The performance of BasicVSR inference has also been optimized for Intel Data Center GPU Flex 170.

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