MI
swz30/MIRNet
[ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.
716 98 +0/wk
GitHub
attention-mechanism computer-vision eccv2020 image-denoising image-enhancement image-restoration low-level-vision multi-resolution-streams pytorch super-resolution
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
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swz30/MIRNet has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | MIRNet | deeplearning-guide | Mask3D | tinyply |
|---|---|---|---|---|
| Stars | 716 | 716 | 717 | 717 |
| Forks | 98 | 131 | 127 | 129 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | N/A | Python | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | N/A | MIT | N/A |
Capability Radar vs deeplearning-guide
MIRNet
deeplearning-guide
Maintenance Activity 0
Last code push 721 days ago.
Community Engagement 68
Fork-to-star ratio: 13.7%. Active community forking and contributing.
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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.