Improve video quality by removing unwanted camera shakes and jitters due to hand jiggling and unintentional camera panning. This model stabilizes footage by moving and rotating the original frames to make subjects visibly stable from frame to frame. 

Input and output files will not match pixel to pixel when using this model. 

Increasing strength will result in a more stabilized output at the cost of increased artifacts (Full Frame) or a more cropped output (Auto-Crop). 

Full-frame mode fills the blank spaces at the edges of the video using frame interpolation and deep learning. This method preserves the original resolution but may result in blurriness on edges in some cases. 

Auto Crop mode will crop out blank spaces on the edges of videos, resulting in an image that is always sharp but may have a reduced resolution and frame size. 

Larger portions of the original frame may be removed depending on the amount of camera shake being stabilized.

Reduces wobbly distortion caused when the camera moves too fast. 

This toggle corrects parallax distortion and tilting motion by running Chronos Fast for each interpolated pass.

Additional passes will significantly increase processing time.

Stabilization

Reduces the blurring caused by objects in quick motion.

Increases the perceived sharpness and detail of videos by removing

blur instead of just increasing edge contrast.

Motion Deblur

Process of synthesizing in-between images from a given set of images to create more fluid movement or to slow down the speed of a video file. 

Choose a slow motion factor or to keep the speed the same, select none. 

will replace duplicate frames with interpolated frames.

 can be raised to increase the sensitivity for removing duplicate frames. A higher setting may remove frames that are not duplicates but look very similar. 

Specializes in non-linear motion and slightly blurry inputs. 

Generates 8 interpolated frames per run, and then creates the selected output framerate from this result.

 frame count multiple. For example, converting from 30 → 60fps at 200% slow motion would require exactly 4x the frames.

Typically interpolates files faster than Apollo, however, may produce a lesser quality output than Apollo when working with large amount of motion.

Recommended for use for any non-double conversions. For example, 24fps -> 29.97 or 60.

High-precision interpolation for large media

More accurate than Apollo and Chronos, but more system-intensive.

Useful when working with large amounts of motion across the entire frame of an input video.

General frame interpolation model suitable for FPS conversion or slow-mo. Processing speed decreases linearly with the number of generated frames.

Recommended for slow motion beyond 8x or smaller than 4x, or FPS conversion.

Specializes in fast motion with larger changes between frames.

Frame Interpolation

Choose the appropriate input footage type for the best results. 

: Deinterlace and enhance + upscale footage with a combined model. 

: trained for interlaced videos that were previously transcoded to progressive with the incorrect field order. 

: Enhance and upscale without deinterlacing. 

An interlaced file is an early form of video compression that was used to make videos look smoother. Achieved by breaking up each full frame of a video into alternating lines taken from two separate fields that were captured at slightly different times. 

The Dione models are used to deinterlace interlaced files and upscale using a single AI model. 

General enhancement model for reducing noise and compression artifacts. This model has been specifically trained on face recovery for low-to-medium quality input videos. This model can be used with both Interlaced and Progressive videos.

Trained for digital video footage like DV, DVCPRO, DVCAM, 720i, and 1080i.

Trained for analog videos from older TVs, camcorders, DVDs, and SD footage (480i, 576i, etc.). 

Dione TV variant that specializes in removing halo and fringing. 

These models should be used when working with interlaced footage that has been previously incorrectly transcoded to progressive. 

Performs best on the following resolutions;

If results are not as expected, try one of the Interlaced Dione models. 

Specializes in removing halo and fringing. 

Progressive scan video displays both the even and odd scan lines (the entire video frame) at the same time. Examples of this would be 480p, 720p, or 1080p. 
There are 4 main progressive models to choose from; Proteus Fine Tune, Artemis, Gaia, and Theia. Each of these filters has a subset of models trained for specific quality issues. 

General enhancement model that allows fine-tuning several parameters for optimal results. 

Excels when reducing noise when working with low to medium-quality footage 

 Proteus will determine the optimal settings based on a 20-frame average.

 Proteus will determine the optimal settings and factor in your slider settings.

 You have full control of the settings. Use Estimate to allow the app to generate settings for you. 

General enhancement model for reducing noise and compression artifacts. This model has been specifically trained on face recovery for low-to-medium quality input videos. 

Denoise model tuned for preserving detail in high-resolution input footage. Runs at 1x mode to retain the most amount of detail while avoiding additional AI scaling and processing, or at 2x mode to increase resolution and generate detail in addition to noise reduction. 

General enhancement model that offers a good balance of improved detail, noise, and artifact reduction. Includes variants trained for low, medium, and high-quality footage with a variety of issues like haloing or aliasing. 

Improves already high-quality (HQ) and computer-generated (CG) files. 

Sharpen and enhance detail to files with 4 parameters for greater control over the final result.

Progressive and Interlaced videos can also use the "Recover Original Detail" slider to blend elements of the original video back into the enhanced output.

Enhancement

Adds a visual texture that gives an organic, textured feel.

Grain

Functions

Download and Install

Understanding the filters and models within Topaz Video AI will allow you to create the best possible output. 

Filters

Summary

Stabilization

Motion Deblur

Frame Interpolation

Enhancement

Grain

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