![]() It really is the only intelligent video resolution enhancer you’ll need. Video Enhance AI specializes in using temporal information to upscale video resolution and create significantly better video enhancement results than if you were to upscale one frame at a time. Better video upscaling quality from multiple frames: Video Enhance AI creates much more natural slow motion results compared to traditional time interpolation. When you create a slow motion effect, it’s even more important that you generate new frames without stuttering or motion artifacts. Video Enhance AI uses a new approach based on machine learning to “predict” the best intermediate frame between existing ones, which gives you much better results with a wider variety of material. The existing ways to do this (frame blending, optical flow) often look unnatural and jittery, especially with moving backgrounds. ![]() To increase your video’s frame rate, you’ll need to generate new frames between your video’s existing frames. Video Enhance AI generates new frames that are often indistinguishable from frames captured in-camera, enhancing videos with more natural results. Existing methods like frame blending and optical flow are decades old and produce inconsistent and unnatural results. Introduced in v2.3, the Chronos AI model uses deep learning to increase video frame rate without artifacts. To solve this issue, Video Enhance AI looks at surrounding frames to improve resolution and reduce motion artifacts for natural results. Improving the quality of videos is substantially more complex than photos because of motion-related issues like flickering, blockiness, and wavy artifacts.
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