Unsupervised Object Segmentation on Synthetic Indoor Scene Dataset
99.82APCausalGS
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| CausalGS2026.05 | 99.82 | 97.15 | 99.99 | 99.99 | 99.93 | 81.36 | |
| FreeGave2026.05 | 99.75 | 96.27 | 99.99 | 99.99 | 99.93 | 80.52 | |
| NVFi2026.05 | 91.21 | 78.74 | 93.75 | 93.76 | 93.74 | 67.64 | |
| Mask2Former2026.05 | 65.37 | 73.14 | 78.29 | 94.83 | 68.88 | 64.42 | |
| D-NeRF2026.05 | 57.26 | 46.15 | 59.02 | 56.55 | 62.94 | 46.58 | |
| DefGS_nvfivariant=nvfi2026.05 | 55.26 | 62.75 | 69.83 | 69.39 | 72.91 | 56.82 | |
| DefGS2026.05 | 51.73 | 57.6 | 66.43 | 63.21 | 70.07 | 54.46 |