Python · Apache-2.0
Correr-Zhou/OmniShow
[ICML 2026] ByteDance's All-in-One Video Generation Model for Human-Object Interaction Video Generation
★ 474
Stars
25 forks · 1 open issues
flat
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
14.5
Momentum / 100
see the breakdown below
8mo ago
Created
last push 3mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | flat, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 6.7 | last push 3mo ago; decays to zero at 180 days |
| Scale | 15 | 7.8 | 474 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 14.5 | sum of the above |
Detail
| Topics | aigccomputer-visiondeep-learningdiffusion-modelsditicmlicml-2026large-modelsmmditmultimodal-aimultimodal-deep-learningvideo-generationvisual-generation |
| Matched on | Computer Vision (computer-vision) |
| Short window | +0 stars over 7 days = 0.0/day |
| Long window | +-1 stars over 26 days = 0.0/day |
| Lifetime average | 1.92 stars/day over 246 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |