AIM
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Super-Resolution | AIM (val) | PSNR22.7 | 17 | |
| Affective Image Manipulation | AIM | CLIP-T0.2216 | 14 | |
| Super-Resolution | AIM Track 2 2019 | PSNR23.37 | 14 | |
| Jailbreak Defense | AIM AdvE | Attack Success Rate (ASR)0 | 14 | |
| Image Matting | AIM-500 | SAD14.76 | 14 | |
| SAT Solving | AIM | MRPP r˜1.2 | 9 | |
| Novel View and Pose Synthesis | AiM Zebra (test) | PSNR15.54 | 6 | |
| Novel View and Pose Synthesis | AiM Horse subset (test) | PSNR16.19 | 6 | |
| 4D equine reconstruction | AiM | PCK@0.0584.2 | 6 | |
| SAT Solving | AIM structured SAT | MRPP r-tilde1.03 | 6 |
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