Nyx: The all-new denoise model
Reduce noise and fix compression artifacts with our first AI model designed specifically for cinema-grade footage.
Model strengths: Nyx is optimized for denoising high resolution out-of-camera videos captured in less than ideal lighting conditions with high ISO settings. You can now shoot videos at higher ISO levels with confidence, knowing that Nyx can clean up the results.
Nyx currently runs in 1x upscaling mode only, so users get the best possible denoising without additional AI processing or resizing.
With Nyx, videos retain the highest amount of image detail while significantly reducing noise and compression artifacts, like stair-stepping and reverting chroma subsampling.
Nyx is also a great tool for reversing the effects of video compression. Many of our users are working with media that has previously been encoded to H264, H265, or another compressed delivery codec. Even in Auto mode, Nyx can intelligently detect and heal some of the visual artifacts created by video compression:
Iris v2: improved details for low resolution faces
The new version of Iris includes a major upgrade to the results from v1. You can use Iris v2 to get more natural and realistic details in both human and non-human subjects, but particularly in human faces. Refined training allows Iris to more accurately generate facial features and details, including features like beards and skin. While Iris v2 has a focus on human facial feature details, it also works great for non-human subjects like trees and buildings.
Iris v2 also reduces the “ghosting” effect that could be seen in footage with changing scenery and subjects, as well as the “marching ant” artifacts (diagonal movement of textures).
Lastly, Iris v2 includes a massive performance increase for NVIDIA GPUs using the power of TensorRT. The new native models may result in speed improvements of up to 50%.
Other improvements
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Video AI 3.5.0 adds support for rotating videos 90, 180, and 270 degrees. Use this to correct videos with missing metadata for rotation.
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A new advanced feature in the app’s preferences enables the use of two Enhancement filters, which pro users have previously incorporated into their workflows by exporting and re-importing a large intermediate file. This new system will allow editors to stack Enhancement filters and process multi-step AI tasks in fewer clicks.
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User guides in the app have also been improved, with animated tooltips that instruct new users on the use of the Preview system the first time the app is run.
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Improved dynamic bitrate controls: The High setting for H264 and H265 exports has been adjusted to target a VMAF score of about 95, and is now the default setting for new installs of Video AI.
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The lossless FFV1 codec is now available by default in the export options panel, and can be used at 4:2:0, 4:2:2, and 4:4:4 chroma subsampling levels.
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Adds AV1 encoder for AMD 7000 series GPUs and 700 series integrated graphics.
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Adds change to copy all subtitle tracks for MKV exports. Support for more containers will be added in the future.
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New preference to default to searching for image sequences during import.
Please read the release threads for 3.5, 3.4.4, 3.4.3, 3.4.2, and 3.4.1 for the full list of changes in each release.
What’s Next?
We have several foundational improvements in the pipeline that should significantly improve how useful Topaz Video AI is to you.
Workflow improvements
- Direct integration with popular NLEs
- Improved preview experience that allows easier comparison between settings - this update is currently available as a very early alpha version which our Beta Testers group can access here.
- Allow offloading processing to a cloud backend
- Allow pausing and resuming processing
We plan on shipping most of these improvements before the end of 2023. Please apply for the video beta program if you’d like to shape the development of these features. Thanks, and we look forward to hearing what you think!