sniklaus/revisiting-sepconv
an implementation of Revisiting Adaptive Convolutions for Video Frame Interpolation using PyTorch
This tool helps animators, video editors, and content creators smooth out videos or create slow-motion effects by inserting new frames between existing ones. You provide two consecutive video frames or a video clip, and it generates a natural-looking intermediate frame or an entirely new, smoother video. It's used by anyone who needs to enhance video fluidity without re-shooting.
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Use this if you need to generate realistic in-between frames for video interpolation, creating smoother motion or high-quality slow-motion sequences.
Not ideal if you're looking for advanced video editing features beyond frame interpolation, such as color correction, effects, or cuts.
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Language
Python
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Last pushed
May 26, 2025
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