Point Cloud Quality Assessment on SJTU WPC 2.0 (cross-dataset)
0.8972SRCC3DTA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| 3DTABackbone=3DTA, Train/Test Method=DirAdapt2026.02 | 0.8972 | 0.8806 | |
| UPDABackbone=3DTA, Train/Test Method=UPDA2026.02 | 0.8792 | 0.8641 | |
| 3DTABackbone=3DTA, Train/Test Method=NoAdapt2026.02 | 0.8711 | 0.8682 | |
| UPDABackbone=GMS-3DQA, Train/Test Method=UPDA2026.02 | 0.8619 | 0.8643 | |
| MM-PCQABackbone=MM-PCQA, Train/Test Method=DirAdapt2026.02 | 0.8602 | 0.8612 | |
| UPDABackbone=MM-PCQA, Train/Test Method=UPDA2026.02 | 0.8546 | 0.862 | |
| MM-PCQABackbone=MM-PCQA, Train/Test Method=NoAdapt2026.02 | 0.848 | 0.8544 | |
| GMS-3DQABackbone=GMS-3DQA, Train/Test Method=DirAdapt2026.02 | 0.8112 | 0.8074 | |
| GMS-3DQABackbone=GMS-3DQA, Train/Test Method=NoAdapt2026.02 | 0.8025 | 0.7952 | |
| IT-PCQABackbone=IT-PCQA, Train/Test Method=UDA2026.02 | 0.7993 | 0.8102 | |
| UPDABackbone=3DTA, Train/Test Method=UPDA2026.02 | 0.7523 | 0.7401 | |
| UPDABackbone=GMS-3DQA, Train/Test Method=UPDA2026.02 | 0.7398 | 0.7753 | |
| 3DTABackbone=3DTA, Train/Test Method=NoAdapt2026.02 | 0.7298 | 0.7184 | |
| GMS-3DQABackbone=GMS-3DQA, Train/Test Method=NoAdapt2026.02 | 0.7154 | 0.7822 | |
| 3DTABackbone=3DTA, Train/Test Method=DirAdapt2026.02 | 0.7125 | 0.7002 | |
| GMS-3DQABackbone=GMS-3DQA, Train/Test Method=DirAdapt2026.02 | 0.6954 | 0.7362 | |
| UPDABackbone=MM-PCQA, Train/Test Method=UPDA2026.02 | 0.6937 | 0.7842 | |
| UPDABackbone=GMS-3DQA, Train/Test Method=UPDA2026.02 | 0.6613 | 0.6674 | |
| MM-PCQABackbone=MM-PCQA, Train/Test Method=NoAdapt2026.02 | 0.6587 | 0.7517 | |
| MM-PCQABackbone=MM-PCQA, Train/Test Method=DirAdapt2026.02 | 0.6544 | 0.761 | |
| PQA-NetBackbone=PQA-Net, Train/Test Method=NoAdapt2026.02 | 0.6374 | 0.6323 | |
| GMS-3DQABackbone=GMS-3DQA, Train/Test Method=DirAdapt2026.02 | 0.6223 | 0.6018 | |
| GMS-3DQABackbone=GMS-3DQA, Train/Test Method=NoAdapt2026.02 | 0.6139 | 0.6117 | |
| 3DTABackbone=3DTA, Train/Test Method=NoAdapt2026.02 | 0.5929 | 0.5967 | |
| UPDABackbone=3DTA, Train/Test Method=UPDA2026.02 | 0.5914 | 0.6352 | |
| 3DTABackbone=3DTA, Train/Test Method=DirAdapt2026.02 | 0.5913 | 0.6019 | |
| UPDABackbone=3DTA, Train/Test Method=UPDA2026.02 | 0.5774 | 0.6238 | |
| UPDABackbone=MM-PCQA, Train/Test Method=UPDA2026.02 | 0.5619 | 0.5791 | |
| IT-PCQABackbone=IT-PCQA, Train/Test Method=UDA2026.02 | 0.5423 | 0.5376 | |
| MM-PCQABackbone=MM-PCQA, Train/Test Method=NoAdapt2026.02 | 0.5312 | 0.5523 | |
| UPDABackbone=GMS-3DQA, Train/Test Method=UPDA2026.02 | 0.5124 | 0.5207 | |
| MM-PCQABackbone=MM-PCQA, Train/Test Method=DirAdapt2026.02 | 0.5117 | 0.529 | |
| IT-PCQABackbone=IT-PCQA, Train/Test Method=UDA2026.02 | 0.5018 | 0.5129 | |
| 3DTABackbone=3DTA, Train/Test Method=DirAdapt2026.02 | 0.4783 | 0.4956 | |
| 3DTABackbone=3DTA, Train/Test Method=NoAdapt2026.02 | 0.4549 | 0.5038 | |
| IT-PCQABackbone=IT-PCQA, Train/Test Method=UDA2026.02 | 0.3892 | 0.391 | |
| UPDABackbone=MM-PCQA, Train/Test Method=UPDA2026.02 | 0.3812 | 0.3793 | |
| PQA-NetBackbone=PQA-Net, Train/Test Method=NoAdapt2026.02 | 0.3684 | 0.377 | |
| PQA-NetBackbone=PQA-Net, Train/Test Method=NoAdapt2026.02 | 0.3528 | 0.3313 | |
| PQA-NetBackbone=PQA-Net, Train/Test Method=NoAdapt2026.02 | 0.3302 | 0.3145 | |
| MM-PCQABackbone=MM-PCQA, Train/Test Method=DirAdapt2026.02 | 0.3263 | 0.3018 | |
| MM-PCQABackbone=MM-PCQA, Train/Test Method=NoAdapt2026.02 | 0.3127 | 0.3363 | |
| GMS-3DQABackbone=GMS-3DQA, Train/Test Method=DirAdapt2026.02 | 0.3012 | 0.3687 | |
| GMS-3DQABackbone=GMS-3DQA, Train/Test Method=NoAdapt2026.02 | 0.2883 | 0.3879 |