Set
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Super-resolution | Set14 (test) | PSNR34.82 | 348 | |
| Image Denoising | Set12 (test) | PSNR36.96 | 107 | |
| Rolling Shutter Global Reset (RSGR) Correction | SET-II | PSNR28.35 | 44 | |
| Image Denoising | Set12 | PSNR32.9 | 26 | |
| Compressive Sensing Image Reconstruction | Set11 (test) | PSNR41.97 | 17 | |
| Temperature Forecasting | set 2023 (test) | Error (1h)0.7709 | 16 | |
| Image Denoising | Set3 Set14 | ES PSNR23.53 | 15 | |
| Track A Evaluation | 420-item set v4 (full) | Exact Match Accuracy51.9 | 12 | |
| AWGN Removal | Set12 sigma=50 (test) | Cameraman27.58 | 10 | |
| Image Denoising | Set12 | PSNR (λ=15, σ=1.5)27.03 | 9 | |
| Image Restoration | Set14 | PSNR25.58 | 9 | |
| Image Inpainting | Set11 | PSNR36.24 | 9 | |
| Packed Bootstrapping | Set D | Latency (ms)3.91 | 7 | |
| Grayscale Image Denoising | Set12 | PSNR (sigma=15)32.76 | 5 | |
| Novel View and Lighting Synthesis | Set 3 | PSNR (RGB)24.97 | 4 | |
| Novel View and Lighting Synthesis | Set 1 | PSNR (RGB)25.65 | 4 | |
| Language Modeling | Set (val) | Loss1.61 | 4 | |
| Plus Disease (Binary Vascular) | Set (test) | Sensitivity97.5 | 3 | |
| AVP identification | Set 2-nonAMP (test) | Accuracy100 | 3 | |
| Identity Protection Evaluation | Set (test) | Protection (FracFace)100 | 3 | |
| Image Super-Resolution | Set 14 (test) | LPIPS0.094 | 3 | |
| Contrast Opacity | Set (n=140 videos) (test) | AUROC95 | 1 |
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