Multi-view 3D Reconstruction on ShapeNet (test)
0.7922IoULRGT+
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LRGT+number of views=202023.08 | 0.7922 | 0.551 | |
| LRGT+number of views=162023.08 | 0.7912 | 0.5497 | |
| LRGT+number of views=122023.08 | 0.7888 | 0.5467 | |
| UMIFormer+Method Category=Transformer-Based, Number of views=202023.02 | 0.7886 | 0.5466 | |
| UMIFormer+number of views=202023.08 | 0.7886 | 0.5466 | |
| UMIFormer+Method Category=Transformer-Based, Number of views=162023.02 | 0.7873 | 0.5451 | |
| UMIFormer+number of views=162023.08 | 0.7873 | 0.5451 | |
| UMIFormer+Method Category=Transformer-Based, Number of views=122023.02 | 0.7843 | 0.5415 | |
| UMIFormer+number of views=122023.08 | 0.7843 | 0.5415 | |
| LRGT+number of views=82023.08 | 0.7833 | 0.5403 | |
| UMIFormer+Method Category=Transformer-Based, Number of views=82023.02 | 0.779 | 0.5348 | |
| UMIFormer+number of views=82023.08 | 0.779 | 0.5348 | |
| LRGTnumber of views=202023.08 | 0.7786 | 0.5353 | |
| LRGTnumber of views=162023.08 | 0.7781 | 0.5347 | |
| LRGTnumber of views=122023.08 | 0.7766 | 0.5337 | |
| LRGTnumber of views=82023.08 | 0.7744 | 0.5311 | |
| LRGT+number of views=52023.08 | 0.7719 | 0.5271 | |
| UMIFormerMethod Category=Transformer-Based, Number of views=202023.02 | 0.7702 | 0.5251 | |
| UMIFormernumber of views=202023.08 | 0.7702 | 0.5251 | |
| UMIFormerMethod Category=Transformer-Based, Number of views=162023.02 | 0.7696 | 0.5245 | |
| UMIFormernumber of views=162023.08 | 0.7696 | 0.5245 | |
| LRGTnumber of views=52023.08 | 0.7692 | 0.5257 | |
| UMIFormerMethod Category=Transformer-Based, Number of views=122023.02 | 0.7682 | 0.5232 | |
| UMIFormernumber of views=122023.08 | 0.7682 | 0.5232 | |
| UMIFormer+Method Category=Transformer-Based, Number of views=52023.02 | 0.7681 | 0.5216 | |
| UMIFormer+number of views=52023.08 | 0.7681 | 0.5216 | |
| UMIFormerMethod Category=Transformer-Based, Number of views=82023.02 | 0.7661 | 0.5213 | |
| UMIFormernumber of views=82023.08 | 0.7661 | 0.5213 | |
| LRGTnumber of views=42023.08 | 0.7653 | 0.5214 | |
| LRGT+number of views=42023.08 | 0.7625 | 0.5161 | |
| UMIFormerMethod Category=Transformer-Based, Number of views=52023.02 | 0.7612 | 0.5168 | |
| UMIFormernumber of views=52023.08 | 0.7612 | 0.5168 | |
| LRGTnumber of views=32023.08 | 0.759 | 0.5148 | |
| UMIFormer+Method Category=Transformer-Based, Number of views=42023.02 | 0.7588 | 0.5104 | |
| UMIFormer+number of views=42023.08 | 0.7588 | 0.5104 | |
| UMIFormerMethod Category=Transformer-Based, Number of views=42023.02 | 0.7573 | 0.5127 | |
| UMIFormernumber of views=42023.08 | 0.7573 | 0.5127 | |
| 3D-RETR†Method Category=Transformer-Based, Training Mode=Trained individually for view counts, Number of views=162023.02 | 0.757 | — | |
| 3D-RETR†Method Category=Transformer-Based, Training Mode=Trained individually for view counts, Number of views=122023.02 | 0.755 | — | |
| 3D-RETR†Method Category=Transformer-Based, Training Mode=Trained individually for view counts, Number of views=202023.02 | 0.755 | — | |
| UMIFormerMethod Category=Transformer-Based, Number of views=32023.02 | 0.7518 | 0.5067 | |
| UMIFormernumber of views=32023.08 | 0.7518 | 0.5067 | |
| LRGT+number of views=32023.08 | 0.7476 | 0.4989 | |
| 3D-RETR†Method Category=Transformer-Based, Training Mode=Trained individually for view counts, Number of views=82023.02 | 0.747 | — | |
| LRGTnumber of views=22023.08 | 0.7462 | 0.5005 | |
| UMIFormer+Method Category=Transformer-Based, Number of views=32023.02 | 0.7447 | 0.4947 | |
| UMIFormer+number of views=32023.08 | 0.7447 | 0.4947 | |
| GARNet+Method Category=CNN-Based, Number of views=202023.02 | 0.742 | 0.504 | |
| GARNet+number of views=202023.08 | 0.742 | 0.504 | |
| GARNet+Method Category=CNN-Based, Number of views=162023.02 | 0.74 | 0.501 | |
| GARNet+number of views=162023.08 | 0.74 | 0.501 | |
| UMIFormerMethod Category=Transformer-Based, Number of views=22023.02 | 0.7384 | 0.4919 | |
| UMIFormernumber of views=22023.08 | 0.7384 | 0.4919 | |
| EVOITMethod Category=CNN-Based, Number of views=202023.02 | 0.738 | 0.496 | |
| GARNetMethod Category=CNN-Based, Number of views=202023.02 | 0.737 | 0.492 | |
| GARNet+Method Category=CNN-Based, Number of views=122023.02 | 0.737 | 0.498 | |
| GARNetnumber of views=202023.08 | 0.737 | 0.492 | |
| GARNet+number of views=122023.08 | 0.737 | 0.498 | |
| GARNetMethod Category=CNN-Based, Number of views=162023.02 | 0.736 | 0.491 | |
| 3D-RETR†Method Category=Transformer-Based, Training Mode=Trained individually for view counts, Number of views=52023.02 | 0.736 | — | |
| GARNetnumber of views=162023.08 | 0.736 | 0.491 | |
| EVOITMethod Category=CNN-Based, Number of views=162023.02 | 0.735 | 0.492 | |
| EVOITnumber of views=202023.08 | 0.735 | 0.492 | |
| GARNetMethod Category=CNN-Based, Number of views=122023.02 | 0.734 | 0.489 | |
| GARNetnumber of views=122023.08 | 0.734 | 0.489 | |
| GARNet+Method Category=CNN-Based, Number of views=82023.02 | 0.733 | 0.491 | |
| GARNet+number of views=82023.08 | 0.733 | 0.491 | |
| GARNetMethod Category=CNN-Based, Number of views=82023.02 | 0.731 | 0.486 | |
| 3D-RETR (3 views)Method Category=Transformer-Based, Number of views=202023.02 | 0.731 | — | |
| GARNetnumber of views=82023.08 | 0.731 | 0.486 | |
| 3D-RETR (3 view)number of views=202023.08 | 0.731 | — | |
| 3D-RETR (3 views)Method Category=Transformer-Based, Number of views=162023.02 | 0.73 | — | |
| 3D-RETR (3 view)number of views=162023.08 | 0.73 | — | |
| EVOITMethod Category=CNN-Based, Number of views=122023.02 | 0.729 | 0.486 | |
| 3D-RETR (3 views)Method Category=Transformer-Based, Number of views=122023.02 | 0.729 | — | |
| EVOITnumber of views=162023.08 | 0.729 | 0.486 | |
| 3D-RETR (3 view)number of views=122023.08 | 0.729 | — | |
| 3D-RETR (3 views)Method Category=Transformer-Based, Number of views=82023.02 | 0.727 | — | |
| 3D-RETR (3 view)number of views=82023.08 | 0.727 | — | |
| GARNetMethod Category=CNN-Based, Number of views=52023.02 | 0.726 | 0.479 | |
| GARNetnumber of views=52023.08 | 0.726 | 0.479 | |
| GARNet+Method Category=CNN-Based, Number of views=52023.02 | 0.725 | 0.481 | |
| 3D-RETR†Method Category=Transformer-Based, Training Mode=Trained individually for view counts, Number of views=42023.02 | 0.725 | — | |
| GARNet+number of views=52023.08 | 0.725 | 0.481 | |
| 3D-C2FTMethod Category=Transformer-Based, Number of views=202023.02 | 0.724 | 0.479 | |
| 3D-C2FTMethod Category=Transformer-Based, Number of views=162023.02 | 0.723 | 0.477 | |
| 3D-RETR (3 views)Method Category=Transformer-Based, Number of views=52023.02 | 0.723 | — | |
| 3D-RETR (3 view)number of views=52023.08 | 0.723 | — | |
| GARNetMethod Category=CNN-Based, Number of views=42023.02 | 0.722 | 0.475 | |
| GARNetnumber of views=42023.08 | 0.722 | 0.475 | |
| LegoformerMethod Category=Transformer-Based, Number of views=202023.02 | 0.721 | 0.472 | |
| Legoformernumber of views=202023.08 | 0.721 | 0.472 | |
| EVOITMethod Category=CNN-Based, Number of views=82023.02 | 0.72 | 0.475 | |
| 3D-C2FTMethod Category=Transformer-Based, Number of views=122023.02 | 0.72 | 0.475 | |
| 3D-RETR (3 views)Method Category=Transformer-Based, Number of views=42023.02 | 0.72 | — | |
| EVOITnumber of views=122023.08 | 0.72 | 0.475 | |
| 3D-RETR (3 view)number of views=42023.08 | 0.72 | — | |
| Pix2Vox++Method Category=CNN-Based, Number of views=202023.02 | 0.719 | 0.462 | |
| GARNet+Method Category=CNN-Based, Number of views=42023.02 | 0.719 | 0.475 | |
| LegoformerMethod Category=Transformer-Based, Number of views=162023.02 | 0.719 | 0.472 |