Adobe’s impressive AI upscaling project makes blurry videos look HD

By Jess Weatherbed | The Verge

VideoGigaGAN can improve video resolution by 8x without introducing flickering or other visual distortions.

Adobe researchers have developed a new generative AI model named VideoGigaGAN that can upscale blurry videos at up to eight times their original resolution. Introduced in a paper published on April 18th, Adobe claims VideoGigaGAN is superior to other Video Super Resolution (VSR) methods as it can provide more fine-grained details without introducing any “AI weirdness” to the footage.

Adobe claims its new VideoGigaGAN generative AI model can upscale video clips more consistently and in higher quality than other VSR methods.  Image: Adobe

In a nutshell, Generative Adversarial Networks (GANs) are effective for upscaling still images to a higher resolution, but struggle to do the same for video without introducing flickering and other unwanted artifacts. Other upscaling methods can avoid this, but the results aren’t as sharp or detailed. VideoGigaGAN aims to provide the best of both worlds — the higher image/video quality of GAN models, with fewer flickering or distortion issues across output frames. The company has provided several examples here that show its work in full resolution. [More]

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