notesum.ai
Published at November 18Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution
cs.CV
cs.AI
cs.MM
Released Date: November 18, 2024
Authors: Brian B. Moser1, Stanislav Frolov1, Tobias C. Nauen1, Federico Raue1, Andreas Dengel1
Aff.: 1German Research Center for Artificial Intelligence, University of Kaiserslautern-Landau

| Type | Methods | PSNR | SSIM | LPIPS |
| Regression | Bicubic | 26.70 | 0.77 | 0.409 |
| EDSR | 28.98 | 0.83 | 0.270 | |
| RRDB | 29.44 | 0.84 | 0.253 | |
| CAR | 32.82 | 0.88 | - | |
| GANs | RankSRGAN | 26.55 | 0.75 | 0.128 |
| ESRGAN | 26.22 | 0.75 | 0.124 | |
| NFs | SRFlow | 27.09 | 0.76 | 0.120 |
| Diffusion | SR3 + YODA | 27.24 | 0.77 | 0.127 |
| (SR-trained) | SRDiff | 27.41 | 0.79 | 0.136 |
| DiWa | 28.09 | 0.78 | 0.104 | |
| Diffusion | SeeSR + MD | 24.28 | 0.67 | 0.110 |
| (T2I-trained) | Ours | 24.34 | 0.68 | 0.108 |