ZonglinL/ConsecutiveBrownianBridge
[ACM MM 2024] Frame Interpolation with Consecutive Brownian Bridge Diffusion Model
This project helps video editors, content creators, or animators create smooth, natural-looking slow-motion or high-frame-rate video from existing footage. It takes two consecutive video frames and intelligently generates the intermediate frames, effectively increasing the frame rate or extending the duration of a video sequence. The output is a higher-frame-rate video that appears more fluid and continuous.
No commits in the last 6 months.
Use this if you need to generate high-quality intermediate frames between two existing video frames to create smoother slow-motion effects or improve video fluidity.
Not ideal if you need a real-time frame interpolation solution, as this tool is designed for offline processing and high-fidelity output.
Stars
37
Forks
5
Language
Python
License
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Category
Last pushed
Feb 22, 2025
Commits (30d)
0
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