DI
zju3dv/Diffuman4D
[ICCV 2025] Diffuman4D: 4D Consistent Human View Synthesis from Sparse-View Videos with Spatio-Temporal Diffusion Models
586 29 +0/wk
GitHub
3d-computer-vision 3d-vision avatar-generation avatar-generator computer-vision
Trend
0
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
zju3dv/Diffuman4D has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | Diffuman4D | semantic-draw | skeleton-tracing | photometric_optimization |
|---|---|---|---|---|
| Stars | 586 | 587 | 585 | 587 |
| Forks | 29 | 53 | 64 | 99 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | C | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | MIT | MIT |
Capability Radar vs semantic-draw
Diffuman4D
semantic-draw
Maintenance Activity 72
Last code push 55 days ago.
Community Engagement 70
Fork-to-star ratio: 4.9%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.