Cloud Removal on Multi-temporal Real-world Cloud-degraded Scenes Jiangsu
19.904PSNRPhyVLM-CR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PhyVLM-CRProtocol=T1 input, T2 ground truth, T3 auxiliary reference2026.03 | 19.904 | 72.01 | |
| Vision-Language ModelProtocol=T1 input, T2 ground truth, T3 auxiliary reference2026.03 | 18.324 | 41.25 | |
| Traditional PhysicalProtocol=T1 input, T2 ground truth, T3 auxiliary reference2026.03 | 15.495 | 52.58 | |
| Zero-shot Deep LearningProtocol=T1 input, T2 ground truth, T3 auxiliary reference2026.03 | 11.073 | 22.11 |