IN
FoundationVision/Infinity
[CVPR 2025 Oral]Infinity ∞ : Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis
1.6k 93 -1/wk
GitHub
auto-regressive-model autoregressive-models generative-model gpt gpt-2 image-generation text-to-image text-to-image-generation transformers
Trend
0
Star & Fork Trend (34 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
FoundationVision/Infinity has -1 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 | Infinity | Awesome-Implicit-NeRF-Robotics | ghost | Semi-supervised-learning |
|---|---|---|---|---|
| Stars | 1.6k | 1.6k | 1.6k | 1.6k |
| Forks | 93 | 97 | 307 | 213 |
| Weekly Growth | -1 | +0 | +0 | +0 |
| Language | Python | N/A | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | Apache-2.0 | MIT |
Capability Radar vs Awesome-Implicit-NeRF-Robotics
Infinity
Awesome-Implicit-NeRF-Robotics
Maintenance Activity 18
Last code push 150 days ago.
Community Engagement 30
Fork-to-star ratio: 6.0%. 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.