danier97/ST-MFNet
[CVPR 2022] "ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation", Duolikun Danier, Fan Zhang, David Bull
This project helps video editors, animators, or content creators make videos appear smoother and more fluid by intelligently inserting new frames between existing ones. You provide a video, and the system generates a new video with more frames, effectively increasing its frame rate. This is ideal for anyone working with video who wants to enhance visual quality or achieve slow-motion effects from standard footage.
No commits in the last 6 months.
Use this if you need to increase the frame rate of existing video footage or smooth out motion without requiring specialized high-frame-rate cameras.
Not ideal if you primarily need to stabilize shaky footage, remove noise, or perform other complex video editing tasks beyond frame interpolation.
Stars
74
Forks
11
Language
Python
License
MIT
Category
Last pushed
Oct 10, 2023
Commits (30d)
0
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