Point Cloud Quality Assessment on SJTU-PCQA Type 6 geometry gaussian noise
0.9376SRCCUPDA
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| UPDABackbone=3DTA2026.02 | 0.9376 | 0.9495 | |
| UPDABackbone=GMS-3DQA2026.02 | 0.9263 | 0.9518 | |
| DirAdaptBackbone=GMS-3DQA2026.02 | 0.9202 | 0.9467 | |
| DirAdaptBackbone=MM-PCQA2026.02 | 0.8994 | 0.9016 | |
| DirAdaptBackbone=3DTA2026.02 | 0.8902 | 0.8674 | |
| 3DTAAdaptation=NoAdapt2026.02 | 0.8845 | 0.8576 | |
| MM-PCQAAdaptation=NoAdapt2026.02 | 0.8844 | 0.9145 | |
| GMS-3DQAAdaptation=NoAdapt2026.02 | 0.8803 | 0.9497 | |
| UPDABackbone=MM-PCQA2026.02 | 0.8718 | 0.9315 | |
| IT-PCQAAdaptation=UDA2026.02 | 0.8152 | 0.7982 | |
| PQA-NetAdaptation=NoAdapt2026.02 | 0.4854 | 0.4908 |