hzwer/CVPR2023-DMVFN
CVPR2023 (highlight) - A Dynamic Multi-Scale Voxel Flow Network for Video Prediction
This project helps generate future video frames from existing video sequences. You provide a video, and it creates realistic predictions of what happens next. This is most useful for researchers and practitioners working on computer vision tasks such as autonomous driving, surveillance, or action anticipation.
365 stars. No commits in the last 6 months.
Use this if you need to accurately predict future frames in a video, based on previous frames, for applications like traffic monitoring or security.
Not ideal if you're looking for a user-friendly application to edit or enhance existing videos, or if you don't have experience working with datasets and command-line interfaces.
Stars
365
Forks
10
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 04, 2024
Commits (30d)
0
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