12/15/2023 0 Comments Topaz video enhance ai benchmarkSharpen and enhance detail to files with 4 parameters for greater control over the final result.I had to buy a monster-sized case just to support the 420mm radiator for cooling my CPU. Improves already high-quality (HQ) and computer-generated (CG) files. Includes variants trained for low, medium, and high-quality footage with a variety of issues like haloing or aliasing. General enhancement model that offers a good balance of improved detail, noise, and artifact reduction. 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. Nyxĭenoise model tuned for preserving detail in high-resolution input footage. This model has been specifically trained on face recovery for low-to-medium quality input videos. General enhancement model for reducing noise and compression artifacts. Use Estimate to allow the app to generate settings for you. Manual: You have full control of the settings.Relative to Auto: Proteus will determine the optimal settings and factor in your slider settings.Auto: Proteus will determine the optimal settings based on a 20-frame average.General enhancement model that allows fine-tuning several parameters for optimal results.Įxcels when reducing noise when working with low to medium-quality footage Each of these filters has a subset of models trained for specific quality issues. There are 4 main progressive models to choose from Proteus Fine Tune, Artemis, Gaia, and Theia. Examples of this would be 480p, 720p, or 1080p. Progressive scan video displays both the even and odd scan lines (the entire video frame) at the same time. ![]() Specializes in removing halo and fringing. If results are not as expected, try one of the Interlaced Dione models.Performs best on the following resolutions This model can be used with both Interlaced and Progressive videos. ![]() These models should be used when working with interlaced footage that has been previously incorrectly transcoded to progressive. Dione DeHaloĭione TV variant that specializes in removing halo and fringing. Trained for analog videos from older TVs, camcorders, DVDs, and SD footage (480i, 576i, etc.). Trained for digital video footage like DV, DVCPRO, DVCAM, 720i, and 1080i. ![]() The Dione models are used to deinterlace interlaced files and upscale using a single AI model. 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. Progressive: Enhance and upscale without deinterlacing.Īn interlaced file is an early form of video compression that was used to make videos look smoother.Interlaced Progressive: trained for interlaced videos that were previously transcoded to progressive with the incorrect field order.Interlaced: Deinterlace and enhance + upscale footage with a combined model.Choose the appropriate input footage type for the best results.
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