Cloud Removal on Multi-temporal Real-world Cloud-degraded Scenes Qinghai
18.771PSNRPhyVLM-CR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PhyVLM-CRProtocol=T1 input, T2 ground truth, T3 auxiliary reference2026.03 | 18.771 | 0.8256 | |
| Traditional PhysicalProtocol=T1 input, T2 ground truth, T3 auxiliary reference2026.03 | 15.847 | 0.7698 | |
| Vision-Language ModelProtocol=T1 input, T2 ground truth, T3 auxiliary reference2026.03 | 14.456 | 0.3182 | |
| Zero-shot Deep LearningProtocol=T1 input, T2 ground truth, T3 auxiliary reference2026.03 | 9.708 | 0.3022 |