Research map / Learning theory and algorithms / Matrix and tensor methods
PSyCo: Manifold Span Reduction for Super Resolution
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Collapse patch variations using dihedral and antipodal symmetry (ablation) | PSyCo · Set14 ×2 | PSNR: around 0.4 dB higher for small dictionary sizes | Helped |
| Collapse patch variations using dihedral and antipodal symmetry (ablation) | PSyCo · Set14 ×2 | PSNR: around 0.2 dB for 1024 atoms | Helped |
| Collapse antipodal symmetry (ablation) | PSyCo · Set14 ×2 | PSNR | Helped |
| Collapse dihedral symmetries together (ablation) | PSyCo · Set14 ×2 | PSNR | Helped |
| Use a larger neighborhood size (ablation) | PSyCo · Set14 ×2 | PSNR | Mixed |
| Vary the regularization weight λ (ablation) | PSyCo · Set14 ×2 | PSNR | No clear effect |
| Use PSyCo with 1024 atoms rather than A+ | Super-resolution benchmark datasets · Set5, Set14, Kodak, Urban100; ×2, ×3, ×4 | PSNR: around 0.3dB higher across all s and datasets | Helped |
| Use PSyCo with 32 atoms | Super-resolution inference · Benchmark datasets | execution time: an order of magnitude faster | Helped |
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