Cloud Removal on Multi-temporal Real-world Cloud-degraded Scenes Yunnan
19.865PSNRPhyVLM-CR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PhyVLM-CRProtocol=T1 input, T2 ground truth, T3 auxiliary reference2026.03 | 19.865 | 78.88 | |
| Traditional PhysicalProtocol=T1 input, T2 ground truth, T3 auxiliary reference2026.03 | 17.214 | 65.22 | |
| Vision-Language ModelProtocol=T1 input, T2 ground truth, T3 auxiliary reference2026.03 | 13.229 | 3.23 | |
| Zero-shot Deep LearningProtocol=T1 input, T2 ground truth, T3 auxiliary reference2026.03 | 11.512 | 31.06 |