Until now, no deep-learning-based approach existed for video enlargement as a commercial product.
You won’t find better-upscaling results anywhere else. Trained on thousands of video clips, the AI uses multiple frames of information to achieve better quality and less motion artifacts. This is the only AI-powered commercial app specifically designed for video upsampling. It's perfect for older footage that you want to repurpose for modern use. With the app, you can take your footage from SD to HD with an incredible increase in quality. Have you ever wanted your footage to look sharper with more detail? Take HD footage all the way up to 8K for use in high-quality projects. Video Enhance AI by Topaz is the perfect way to take good footage and make it great. There has never been a way to perfectly recreate high-resolution video from low-resolution footage… Until now. The technology is 100% good but the interface is assumning too much situations, and not let to avoid a lot of problems.Traditional video upscaling simply stretches resolution, degrading the quality and destroying details. Those are my thoughts after maybe 4000 videos processed. Because maybe the picture is clean… but with deinterlacing artifacts, or maybe is well upscaled, but the aspect ratio is not the right and the picture is squeezed.
If we mix concepts, 50% of times the results are not improving the original. The deinterlace have to be only deinterlace) I think the problem is the interface should show different stepsġ, input pixel aspect (if not 50% of times we are defforming)Ģ deinterlace (independent of enhancing method. If we have to deinterlace and upscale a video with grain we have to use Dione alghoryhtm that is so bad with the grain… And if we selet proteus or Artemis, the upscale is ok and the degrain is ok, but the deinterlace is destroying the results
You are assuming that any video have one problem.īut 90% times the videos have a lot of problems. I want to explain better the issue with the deinterlace.
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