![]() We also improved support of h.265 encoders for NVIDIA GTX GPUs. Mac users will now experience improved quality when exporting videos using h.264, h.265, and h.265 Main 10 encoders, and we added support for the AV1 encoder on Intel ARC GPUs. With Topaz Video AI v3.0.7, the AI models will receive the input media in the same color space that they were trained on, thereby increasing video quality. Our AI models perform best when the input video frames or image sequences are similar to the media used for training in terms of content, artifacts, color space (e.g. The technology is 100% good but the interface is assumning too much situations, and not let to avoid a lot of problems.We’ve updated how some of our models work, which improves export video quality. 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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