Semantic Scene Completion on NYU v2 (test)
0Ceiling ErrorLin et al.
Evaluation results
| Method | Links | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Lin et al.2019.03 | 0 | 11.7 | 13.3 | 14.1 | 9.4 | 29 | 24 | 6 | 7 | 16.2 | 1.1 | 12 | — | — | |
| Lin et al.2020.02 | 0 | 11.7 | 13.3 | 14.1 | 9.4 | 29 | 24 | 6 | 7 | 16.2 | 1.1 | 12 | — | — | |
| Lin et al.2020.04 | 0 | 11.7 | 13.3 | 14.1 | 9.4 | 29 | 24 | 6 | 7 | 16.2 | 1.1 | 12 | — | — | |
| Lin et al.2020.03 | 0 | 11.7 | 13.3 | 14.1 | 9.4 | 29 | 24 | 6 | 7 | 16.2 | 1.1 | 12 | — | — | |
| EdgeNet-LFtrain=SUNCG, input=d+e2019.08 | 3.2 | 87.1 | 19.9 | 8.6 | 15.4 | 43.5 | 32.3 | 8.8 | 4.3 | 13.7 | 10 | 22.4 | — | — | |
| LMSCNetrgbInput=Occ2023.09 | 4.49 | 88.41 | 4.63 | 0.25 | 3.94 | 32.03 | 15.44 | 6.57 | 0.02 | 14.51 | 4.39 | — | 33.93 | 15.88 | |
| LMSCNetInput=rgb2024.07 | 4.49 | 88.41 | 4.63 | 0.25 | 3.94 | 32.03 | 15.44 | 6.57 | 0.02 | 14.51 | 4.39 | — | 33.93 | 15.88 | |
| LMSCNetVenue=3DV’202026.03 | 4.49 | 88.41 | 4.63 | 0.25 | 3.94 | 32.03 | 15.44 | 6.57 | 0.02 | 14.51 | 4.39 | — | — | 15.88 | |
| SSCNettrain=SUNCG, input=d2019.08 | 5.8 | 81.8 | 19.6 | 5.4 | 12.9 | 34.4 | 26 | 13.6 | 6.1 | 9.4 | 7.4 | 20.2 | — | — | |
| AICNetrgbInput=RGB & Depth2023.09 | 7.58 | 82.97 | 9.15 | 0.05 | 6.93 | 35.87 | 22.92 | 11.11 | 0.71 | 15.9 | 6.45 | — | 30.03 | 18.15 | |
| AICNetInput=rgb, depth2024.07 | 7.58 | 82.97 | 9.15 | 0.05 | 6.93 | 35.87 | 22.92 | 11.11 | 0.71 | 15.9 | 6.45 | — | 30.03 | 18.15 | |
| AICNetVenue=CVPR’202026.03 | 7.58 | 82.97 | 9.15 | 0.05 | 6.93 | 35.87 | 22.92 | 11.11 | 0.71 | 15.9 | 6.45 | — | — | 18.15 | |
| 3DSketchrgbInput=RGB & TSDF2023.09 | 8.53 | 90.45 | 9.94 | 5.67 | 10.64 | 42.29 | 29.21 | 13.88 | 9.38 | 23.83 | 8.19 | — | 38.64 | 22.91 | |
| 3DSketchInput=rgb, TSDF2024.07 | 8.53 | 90.45 | 9.94 | 5.67 | 10.64 | 42.29 | 29.21 | 13.88 | 9.38 | 23.83 | 8.19 | — | 38.64 | 22.91 | |
| 3DSketchVenue=CVPR’202026.03 | 8.53 | 90.45 | 9.94 | 5.67 | 10.64 | 42.29 | 29.21 | 13.88 | 9.38 | 23.83 | 8.19 | — | — | 22.91 | |
| MonoSceneInput=RGB2023.09 | 8.89 | 93.5 | 12.06 | 12.57 | 13.72 | 48.19 | 36.11 | 15.13 | 15.22 | 27.96 | 12.94 | — | 42.51 | 26.94 | |
| MonoSceneInput=rgb2024.07 | 8.89 | 93.5 | 12.06 | 12.57 | 13.72 | 48.19 | 36.11 | 15.13 | 15.22 | 27.96 | 12.94 | — | 42.51 | 26.94 | |
| MonoSceneVenue=CVPR’222026.03 | 8.89 | 93.5 | 12.06 | 12.57 | 13.72 | 48.19 | 36.11 | 15.13 | 15.22 | 27.96 | 12.94 | — | — | 26.94 | |
| EdgeNet-EFtrain=SUNCG, input=d+e2019.08 | 9.1 | 92.9 | 18.3 | 5.7 | 15.8 | 40.4 | 30.7 | 9.2 | 3.3 | 13.7 | 11.6 | 22.8 | — | — | |
| TS3DResolution=(240, 60)2021.04 | 9.7 | 93.4 | 25.5 | 21 | 17.4 | 55.9 | 49.2 | 17 | 27.5 | 39.4 | 19.3 | 34.1 | — | — | |
| GenFuSEVenue=arXiv’252026.03 | 9.8 | 92.8 | 13.8 | 13.7 | 17.6 | 48.6 | 39.7 | 17.6 | 24.7 | 33.4 | 17.2 | — | — | 29.9 | |
| Geiger et al.2019.03 | 10.2 | 62.5 | 19.1 | 5.8 | 8.5 | 40.6 | 27.7 | 7 | 6 | 22.6 | 5.9 | 19.6 | — | — | |
| Geiger et al.2020.02 | 10.2 | 62.5 | 19.1 | 5.8 | 8.5 | 40.6 | 27.7 | 7 | 6 | 22.6 | 5.9 | 19.6 | — | — | |
| Geiger et al.2020.04 | 10.2 | 62.5 | 19.1 | 5.8 | 8.5 | 40.6 | 27.7 | 7 | 6 | 22.6 | 5.9 | 19.6 | — | — | |
| Geiger et al.2020.03 | 10.2 | 62.5 | 19.1 | 5.8 | 8.5 | 40.6 | 27.7 | 7 | 6 | 22.6 | 5.9 | 19.6 | — | — | |
| EdgeNet-MFtrain=SUNCG, input=d+e2019.08 | 11 | 92.3 | 20.5 | 7.2 | 16.3 | 42.8 | 32.8 | 10.5 | 6 | 15.7 | 11.8 | 24.3 | — | — | |
| NDC-SceneInput=RGB2023.09 | 12.02 | 93.51 | 13.11 | 13.77 | 15.83 | 49.57 | 39.87 | 17.17 | 24.57 | 31 | 14.96 | — | 44.17 | 29.03 | |
| NDC-SceneInput=rgb2024.07 | 12.02 | 93.51 | 13.11 | 13.77 | 15.83 | 49.57 | 39.87 | 17.17 | 24.57 | 31 | 14.96 | — | 44.17 | 29.03 | |
| NDC-SceneVenue=ICCV’232026.03 | 12.02 | 93.51 | 13.11 | 13.77 | 15.83 | 49.57 | 39.87 | 17.17 | 24.57 | 31 | 14.96 | — | — | 29.03 | |
| Garbade et al.train=SUNCG + NYU, input=d+s2019.08 | 12.9 | 92.5 | 25.3 | 20.1 | 16.1 | 56.3 | 43.4 | 17.2 | 10.4 | 33 | 14.3 | 31 | — | — | |
| AMFNetconfiguration=without segmentation guidance2020.03 | 13.7 | 94.7 | 26.9 | 14.8 | 12.7 | 48.5 | 39.8 | 10.4 | 12.2 | 36.2 | 19.2 | 29.9 | — | — | |
| ISOInput=rgb2024.07 | 14.21 | 93.47 | 15.89 | 15.14 | 18.35 | 50.01 | 40.82 | 18.25 | 25.9 | 34.08 | 17.67 | — | 47.11 | 31.25 | |
| ISOVenue=ECCV’242026.03 | 14.21 | 93.47 | 15.89 | 15.14 | 18.35 | 50.01 | 40.82 | 18.25 | 25.9 | 34.08 | 17.67 | — | — | 31.25 | |
| SSCNet2019.03 | 15.1 | 94.7 | 24.4 | 0 | 12.6 | 32.1 | 35 | 13 | 7.8 | 27.1 | 10.1 | 24.7 | — | — | |
| SSCNet2019.07 | 15.1 | 94.7 | 24.4 | 0 | 12.6 | 32.1 | 35 | 13 | 7.8 | 27.1 | 10.1 | 24.7 | — | — | |
| SSCNet2020.02 | 15.1 | 94.7 | 24.4 | 0 | 12.6 | 32.1 | 35 | 13 | 7.8 | 27.1 | 10.1 | 24.7 | — | — | |
| SSCNet2020.04 | 15.1 | 94.7 | 24.4 | 0 | 12.6 | 32.1 | 35 | 13 | 7.8 | 27.1 | 10.1 | 24.7 | — | — | |
| SSCNet2020.03 | 15.1 | 94.7 | 24.4 | 0 | 12.6 | 32.1 | 35 | 13 | 7.8 | 27.1 | 10.1 | 24.7 | — | — | |
| SSCNetResolution=(240, 60)2021.04 | 15.1 | 94.7 | 24.4 | 0 | 12.6 | 32.1 | 35 | 13 | 7.8 | 27.1 | 10.1 | 24.7 | — | — | |
| SSCNettrain=NYU, input=d2019.08 | 15.1 | 94.7 | 24.4 | 0 | 12.6 | 32.1 | 35 | 13 | 7.8 | 27.1 | 10.1 | 24.7 | — | — | |
| SSCNettrain=SUNCG + NYU, input=d2019.08 | 15.1 | 94.6 | 24.7 | 10.8 | 17.3 | 53.2 | 45.9 | 15.9 | 13.9 | 31.1 | 12.6 | 30.5 | — | — | |
| AdaSFormerVenue=Ours2026.03 | 16.18 | 92.72 | 16.96 | 14.1 | 23.93 | 53.89 | 44.52 | 16.65 | 23.85 | 35.97 | 18.67 | — | — | 32.5 | |
| EdgeNet-EFtrain=SUNCG + NYU, input=d+e2019.08 | 16.3 | 95 | 27.9 | 14.2 | 17.9 | 55.4 | 50.8 | 16.5 | 6.8 | 37.3 | 15.3 | 32.1 | — | — | |
| AMFNetconfiguration=Full model2020.03 | 16.7 | 89.2 | 27.3 | 19.2 | 20.2 | 56.1 | 50.4 | 15.1 | 13.5 | 36.8 | 18 | 33 | — | — | |
| SATNetResolution=(60, 60)2021.04 | 17.3 | 92.1 | 28 | 16.6 | 19.3 | 57.5 | 53.8 | 17.2 | 18.5 | 38.4 | 18.9 | 34.4 | — | — | |
| TNetFusetrain=SUNCG + NYU, input=d+s2019.08 | 17.3 | 92.1 | 28 | 16.6 | 19.3 | 57.5 | 53.8 | 17.7 | 18.5 | 38.4 | 18.9 | 34.4 | — | — | |
| EsscNet2019.03 | 17.5 | 75.4 | 25.8 | 6.7 | 15.3 | 53.8 | 42.4 | 11.2 | 0 | 33.4 | 11.8 | 26.7 | — | — | |
| Efficient Semantic Scene Completion Network2019.07 | 17.5 | 75.4 | 25.8 | 6.7 | 15.3 | 53.8 | 42.4 | 11.2 | 0 | 33.4 | 11.8 | 26.7 | — | — | |
| EsscNet2020.02 | 17.5 | 75.4 | 25.8 | 6.7 | 15.3 | 53.8 | 42.4 | 11.2 | 0 | 33.4 | 11.8 | 26.7 | — | — | |
| EsscNet2020.04 | 17.5 | 75.4 | 25.8 | 6.7 | 15.3 | 53.8 | 42.4 | 11.2 | 0 | 33.4 | 11.8 | 26.7 | — | — | |
| EsscNet2020.03 | 17.5 | 75.4 | 25.8 | 6.7 | 15.3 | 53.8 | 42.4 | 11.2 | 0 | 33.4 | 11.8 | 26.7 | — | — | |
| ESSCNetResolution=(240, 60)2021.04 | 17.5 | 75.4 | 25.8 | 6.7 | 15.3 | 53.8 | 42.4 | 11.2 | 0 | 33.4 | 11.8 | 26.7 | — | — | |
| EdgeNet-MFtrain=NYU, input=d+e2019.08 | 17.9 | 94 | 27.8 | 2.1 | 9.5 | 51.8 | 44.3 | 9.4 | 3.6 | 32.5 | 12.7 | 27.8 | — | — | |
| DCRFtrain=SUNCG + NYU, input=d2019.08 | 18.1 | 92.6 | 27.1 | 10.8 | 18.8 | 54.3 | 47.9 | 17.1 | 15.1 | 34.7 | 13 | 31.8 | — | — | |
| VVNet2020.04 | 19.3 | 94.8 | 28 | 12.2 | 19.6 | 57 | 50.5 | 17.6 | 11.9 | 35.6 | 15.3 | 32.9 | — | — | |
| VVNetR-120Resolution=(120, 60)2021.04 | 19.3 | 94.8 | 28 | 12.2 | 19.6 | 57 | 50.5 | 17.6 | 11.9 | 35.6 | 15.3 | 32.9 | — | — | |
| VVNetR-120train=SUNCG + NYU, input=d2019.08 | 19.3 | 94.8 | 28 | 12.2 | 19.6 | 57 | 50.5 | 17.6 | 11.9 | 35.6 | 15.3 | 32.9 | — | — | |
| EdgeNet-LFtrain=NYU, input=d+e2019.08 | 19.8 | 94.9 | 24.4 | 5.7 | 7.2 | 50.3 | 38.8 | 10 | 0 | 33.2 | 12.2 | 27 | — | — | |
| AMFNetconfiguration=segmentation ground truth2020.03 | 20 | 78.7 | 27.3 | 20.5 | 21.8 | 56.5 | 53.9 | 19.5 | 18.8 | 40.1 | 19.5 | 34.2 | — | — | |
| EdgeNet-LFtrain=SUNCG + NYU, input=d+e2019.08 | 20.6 | 94.9 | 29.5 | 9.8 | 18.1 | 56.2 | 50.5 | 11.4 | 5.2 | 35.9 | 15.3 | 31.6 | — | — | |
| AMFNetconfiguration=basic architecture2020.03 | 20.9 | 94.1 | 27.1 | 15.7 | 12.4 | 46 | 45.1 | 13.9 | 0.3 | 32.3 | 15.7 | 29.4 | — | — | |
| DDR-Net2019.03 | 21.1 | 92.2 | 33.5 | 6.8 | 14.8 | 48.3 | 42.3 | 13.2 | 13.9 | 35.3 | 13.2 | 30.4 | — | — | |
| DDR-SSC2020.02 | 21.1 | 92.2 | 33.5 | 6.8 | 14.8 | 48.3 | 42.3 | 13.2 | 13.9 | 35.3 | 13.2 | 30.4 | — | — | |
| DDRNet2020.04 | 21.1 | 92.2 | 33.5 | 6.8 | 14.8 | 48.3 | 42.3 | 13.2 | 13.9 | 35.3 | 13.2 | 30.4 | — | — | |
| DDRNet2020.03 | 21.1 | 92.2 | 33.5 | 6.8 | 14.8 | 48.3 | 42.3 | 13.2 | 13.9 | 35.3 | 13.2 | 30.4 | — | — | |
| DDRNetResolution=(60, 60)2021.04 | 21.1 | 92.2 | 33.5 | 6.8 | 14.8 | 48.3 | 42.3 | 13.2 | 13.9 | 35.3 | 13.2 | 30.4 | — | — | |
| AMFNetconfiguration=without attention2020.03 | 21.3 | 90.3 | 26.1 | 7.7 | 18 | 53.8 | 48.4 | 13 | 0 | 36.7 | 16.3 | 30.1 | — | — | |
| EdgeNet-EFtrain=NYU, input=d+e2019.08 | 21.8 | 95 | 27.3 | 8.4 | 6.8 | 53.1 | 38.6 | 7.5 | 0 | 30.4 | 13.3 | 27.5 | — | — | |
| SNetFusetrain=SUNCG + NYU, input=d+s2019.08 | 22.2 | 91 | 28.6 | 18.2 | 19.2 | 56.2 | 51.2 | 16.2 | 12.2 | 37 | 17.4 | 33.6 | — | — | |
| EdgeNet-MFtrain=SUNCG + NYU, input=d+e2019.08 | 22.4 | 95 | 29.7 | 15.5 | 20.9 | 54.1 | 53 | 15.6 | 14.9 | 35 | 14.8 | 33.7 | — | — | |
| AIC-Net2020.04 | 23.2 | 90.8 | 32.3 | 14.8 | 18.2 | 51.1 | 44.8 | 15.2 | 22.4 | 38.3 | 15.7 | 33.3 | — | — | |
| AICNetResolution=(60, 60)2021.04 | 23.2 | 90.8 | 32.3 | 14.8 | 18.2 | 51.1 | 44.8 | 15.2 | 22.4 | 38.3 | 15.7 | 33.3 | — | — | |
| CCPNetResolution=(240, 240)2021.04 | 23.5 | 96.3 | 35.7 | 20.2 | 25.8 | 61.4 | 56.1 | 18.1 | 28.1 | 37.8 | 20.1 | 38.5 | — | — | |
| GRFNet2020.02 | 24 | 91.7 | 33.3 | 19 | 18.1 | 51.9 | 45.5 | 13.4 | 13.3 | 37.3 | 15 | 32.9 | — | — | |
| MonoMRNVenue=ICCV’252026.03 | 26.8 | 92.02 | 19.39 | 18.5 | 17.66 | 44.6 | 31.02 | 19.6 | 17.22 | 32.9 | 18.31 | — | — | 30.73 | |
| ForkNetResolution=(80, 80)2021.04 | 36.2 | 93.8 | 29.2 | 18.9 | 17.7 | 61.6 | 52.9 | 23.3 | 19.5 | 45.4 | 20 | 37.1 | — | — | |
| SketchResolution=(60, 60)2021.04 | 43.1 | 93.6 | 40.5 | 24.3 | 30 | 57.1 | 49.3 | 29.2 | 14.3 | 42.5 | 28.6 | 41.1 | — | — | |
| Baseline (DeepLabv3)Resolution=(60, 60)2021.04 | 46.8 | 93.4 | 42 | 32.4 | 36 | 61.1 | 55.8 | 28.2 | 27.6 | 45.7 | 32.9 | 45.6 | — | — | |
| Baseline (BiSeNet)Resolution=(60, 60)2021.04 | 46.9 | 93.3 | 41.3 | 26.7 | 30.8 | 58.4 | 49.5 | 27.2 | 22.1 | 42.2 | 28.7 | 42.5 | — | — | |
| SISNet (BiSeNet)Resolution=(60, 60)2021.04 | 53.9 | 93.2 | 51.3 | 38 | 38.7 | 65 | 56.3 | 37.8 | 25.9 | 51.3 | 36 | 49.8 | — | — | |
| SISNet (DeepLabv3)Resolution=(60, 60)2021.04 | 54.7 | 93.8 | 53.2 | 41.9 | 43.6 | 66.2 | 61.4 | 38.1 | 29.8 | 53.9 | 40.3 | 52.4 | — | — | |
| 3DSketchInput Dimensionality=2.5D/3D, Evaluation Source=Cited from MonoScene2023.02 | — | — | — | — | — | — | — | — | — | — | — | — | 49.5 | 29.2 | |
| AICNetInput Dimensionality=2.5D/3D, Evaluation Source=Cited from MonoScene2023.02 | — | — | — | — | — | — | — | — | — | — | — | — | 43.9 | 23.8 | |
| Guedes et al.train=SUNCG + NYU, input=d+c2019.08 | — | — | — | — | — | — | — | — | — | — | — | 30.5 | — | — | |
| LMSCNetInput Dimensionality=2.5D/3D, Evaluation Source=Cited from MonoScene2023.02 | — | — | — | — | — | — | — | — | — | — | — | — | 44.1 | 20.4 | |
| MonoSceneInput Dimensionality=2D2023.02 | — | — | — | — | — | — | — | — | — | — | — | — | 42.1 | 26.5 | |
| OccDepthInput Dimensionality=2D2023.02 | — | — | — | — | — | — | — | — | — | — | — | — | 50.3 | 30.9 |