Point Cloud Quality Assessment on SJTU-PCQA Type 5 downsampling & geometry gaussian noise
0.9621SRCCUPDA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| UPDABackbone=3DTA2026.02 | 0.9621 | 0.9727 | |
| DirAdaptBackbone=3DTA2026.02 | 0.9546 | 0.9483 | |
| 3DTAAdaptation=NoAdapt2026.02 | 0.9536 | 0.941 | |
| UPDABackbone=GMS-3DQA2026.02 | 0.9476 | 0.9683 | |
| UPDABackbone=MM-PCQA2026.02 | 0.9365 | 0.9479 | |
| DirAdaptBackbone=MM-PCQA2026.02 | 0.9276 | 0.9201 | |
| DirAdaptBackbone=GMS-3DQA2026.02 | 0.9201 | 0.9416 | |
| GMS-3DQAAdaptation=NoAdapt2026.02 | 0.9166 | 0.9372 | |
| MM-PCQAAdaptation=NoAdapt2026.02 | 0.9108 | 0.9175 | |
| IT-PCQAAdaptation=UDA2026.02 | 0.8542 | 0.8467 | |
| PQA-NetAdaptation=NoAdapt2026.02 | 0.3771 | 0.4231 |