sniklaus/sepconv-slomo
an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch
This tool helps filmmakers, animators, or video editors create smoother slow-motion effects or increase the frame rate of existing video footage. You provide two consecutive video frames or a video file, and it intelligently generates high-quality intermediate frames, resulting in a more fluid visual output. It's designed for anyone needing to enhance video smoothness or create convincing slow-motion without specialized high-speed cameras.
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Use this if you need to create smoother slow-motion video from standard footage or interpolate frames to increase the perceived frame rate of a video clip for better visual flow.
Not ideal if you require this technology for commercial applications, as the license is strictly for academic purposes.
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Python
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Last pushed
May 26, 2025
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