Image Quality Assessment on Dehaze
0.73SRCCTool-IQA
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Tool-IQATraining dataset=KADID-10K, Method category=VLM-based2026.06 | 0.73 | 0.797 | |
| VisualQuality-R1Training dataset=KADID-10K, Method category=VLM-based2026.06 | 0.662 | 0.721 | |
| LIQETraining dataset=KADID-10K, Method category=VLM-based2026.06 | 0.646 | 0.661 | |
| DeQA-ScoreTraining dataset=KADID-10K, Method category=VLM-based2026.06 | 0.643 | 0.688 | |
| DEIQTTraining dataset=KADID-10K, Method category=Discriminative Deep-Learning-based2026.06 | 0.613 | 0.652 | |
| MANIQATraining dataset=KADID-10K, Method category=Discriminative Deep-Learning-based2026.06 | 0.608 | 0.663 | |
| Qwen3-VL-8B-InsTraining dataset=KADID-10K, Method category=VLM-based2026.06 | 0.603 | 0.652 | |
| QInsightTraining dataset=KADID-10K, Method category=VLM-based2026.06 | 0.601 | 0.669 | |
| UNIQUETraining dataset=KADID-10K, Method category=Discriminative Deep-Learning-based2026.06 | 0.577 | 0.578 | |
| MUSIQTraining dataset=KADID-10K, Method category=Discriminative Deep-Learning-based2026.06 | 0.458 | 0.455 | |
| Qwen2.5-VL-7BTraining dataset=KADID-10K, Method category=VLM-based2026.06 | 0.458 | 0.553 | |
| Q-AlignTraining dataset=KADID-10K, Method category=VLM-based2026.06 | 0.455 | 0.525 | |
| NIQETraining dataset=KADID-10K, Method category=Handcrafted2026.06 | 0.343 | 0.482 | |
| BRISQUETraining dataset=KADID-10K, Method category=Handcrafted2026.06 | 0.242 | 0.468 |