Topaz Video AI was trained exclusively on video clips instead of still images. We mitigate these by deriving new information from multiple frames. Traditional upscaling often causes artifacts. Inject real details into your videos, derived from the additional information in multiple adjacent frames. TVAI significantly reduces these artifacts. I have already noticed that the 2x and 4x upscale Iris models haven’t been the same since first release yet, so I cannot given an opinion on the 4x. Other video upscaling techniques often create a “shimmering” or “flickering” effect from different processing in adjacent frames. It makes the output unwatchable as you notice it - the video feels wrong all the time, even if you can’t work out what the cause is at first. (Many of them already use Topaz Video AI to benchmark AI inference.) Own the software and use it for as many projects as you like, right in your existing workflow. (Many of them already use Topaz Video AI to benchmark AI inference.) Own the software and use it for as many projects as you like, right in your existing workflow. Topaz Video AI will also take full advantage of your modern workstation, as we partner directly with hardware manufacturers to optimize processing times. Topaz Video AI will also take full advantage of your modern workstation, as we partner directly with hardware manufacturers to optimize processing times. We’ve taken five years to craft AI models robust enough for natural results on real-world footage. Topaz Video AI focuses solely on completing a few video enhancement tasks really well: deinterlacing, upscaling, and motion interpolation. Production-grade AI models for professional use cases
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