| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| NeRF Synthetic | PSNR33.37 | 12 | 4d ago | ||
| CH (test) | CNN with Intermediate Loss | SSIM0.8926 | 10 | 3d ago | |
| Mip-NeRF360 (test) | PSNR27.23 | 8 | 4d ago | ||
| Tanks&Temples (test) | IE-SRGS | PSNR23.52 | 7 | 4d ago | |
| Deep Blending (test) | PSNR29.73 | 7 | 4d ago | ||
| CH 4x upscaling (test) | CNN with Intermediate Loss | SSIM78.19 | 5 | 3d ago | |
| CH 2x upscaling (test) | CNN with Intermediate Loss | SSIM0.8926 | 5 | 3d ago | |
| NAMIC T2-weighted (test) | CNN with Intermediate Loss | SSIM0.9835 | 5 | 3d ago | |
| NAMIC T1-weighted (test) | CNN with Intermediate Loss | SSIM96.87 | 4 | 3d ago | |
| MipNeRF-360 bicycle and stump scenes | IE-SRGS | PSNR25.64 | 3 | 4d ago |
