ltkong218/IFRNet
IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation (CVPR 2022)
This project helps video creators, editors, and broadcasters create smoother slow-motion effects or increase video frame rates for a more fluid viewing experience. It takes standard video footage as input and efficiently generates additional, realistic frames between existing ones, resulting in a higher frame rate video. Anyone working with video production, content creation, or visual effects will find this useful.
332 stars. No commits in the last 6 months.
Use this if you need to dramatically increase the frame rate of existing video footage, generate smooth slow-motion, or prepare videos for high frame rate displays, especially in scenarios requiring fast processing and lightweight models.
Not ideal if your primary goal is video enhancement tasks other than frame rate interpolation, such as super-resolution, deblurring, or denoising, as this tool focuses specifically on generating intermediate frames.
Stars
332
Forks
32
Language
Python
License
MIT
Category
Last pushed
Feb 19, 2024
Commits (30d)
0
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