The Google-research/frame-interpol: A Tool for Interpolating Frames in Large Scenes of Motion
The Google-research/frame-interpol is an API tool that enables users to interpolate frames in large scenes of motion. This tool offers a single-network approach that delivers state-of-the-art results without relying on extra pre-trained networks such as optical flow depth. Users can run models with a minimum output of 1 and a maximum of 8 interpolations per video at a frame rate of 30 FPS.
The model is trained with a frame triplet alone and can be completed within 36 seconds using NVIDIA T4 GPU hardware. This AI tool has diverse real use cases, such as improving the visual quality of videos with low frame rates, reducing the amount of data needed to store videos, and enhancing video playback on slower devices.
Users can access additional information, including citations and examples, on the tool’s GitHub page. With the Google-research/frame-interpol, users can easily create high-quality videos that are visually appealing and engaging.
