AN
TIGER-AI-Lab/AnyV2V
Code and data for "AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks" [TMLR 2024]
649 49 +0/wk
GitHub
deep-learning generative-ai image-editing image-to-video-generation pytorch video-editing video-synthesis
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
TIGER-AI-Lab/AnyV2V has +0 stars this period . 7-day velocity: -0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | AnyV2V | seqGAN | libonnx | bayesflow |
|---|---|---|---|---|
| Stars | 649 | 648 | 648 | 651 |
| Forks | 49 | 148 | 115 | 82 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Python | C | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | MIT | MIT |
Capability Radar vs seqGAN
AnyV2V
seqGAN
Maintenance Activity 0
Last code push 526 days ago.
Community Engagement 38
Fork-to-star ratio: 7.6%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.