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.
Increase video frame rate (24 to 60 FPS, 30 to 60 FPS) 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. Restore realistic details and remove compression artifacts from old or degraded sources. Naturally restore old videos without adding visual artifacts. Significantly reduces visual artifacts compared to traditional deinterlacing. Use deep learning to convert interlaced videos to progressive while preserving image definition. Minimize flickering and other temporal artifacts caused by frame-by-frame denoising approaches. Remove noise and grain while recovering real detail in your videos. Our video upscaler can convert SD to HD and HD to 4k or 8k while adding crisp and natural video details. Upscale video resolution with detail gathered from multiple frames. 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. Video Enhance AI uses information from multiple frames to achieve high-end results for video upscaling, denoising, deinterlacing, and restoration.
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