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Semantic Scene Completion on NYU (test)

0Ceiling ErrorLin et al.
-2.05611.82225.739.578Sep 3, 2019Apr 5, 2020Nov 6, 2020Jun 9, 2021Jan 10, 2022Aug 13, 2022Mar 17, 2023

Evaluation results

MethodLinks
Lin et al.Resolution=(240, 60), Trained on=NYU, RGB-D based=false2020.03011.713.314.19.429246716.21.112—
Lin et al.training_data_constraint=NYU only2019.09011.713.314.19.429246716.21.112—
TS3DResolution=(240, 60), Trained on=NYU, RGB-D based=true2020.039.793.425.52117.455.949.21727.539.419.334.1—
TS3DInput=RGB+D, Resolution=(240, 60)2021.129.793.425.52117.455.949.21727.539.419.3—0.341
Geiger et al.Resolution=(240, 60), Trained on=NYU, RGB-D based=false2020.0310.262.519.15.88.540.627.77622.65.919.6—
Geiger and Wangtraining_data_constraint=NYU only2019.0910.262.519.15.88.540.627.77622.65.919.6—
SSCNetResolution=(240, 60), Trained on=NYU, RGB-D based=false2020.0315.194.724.4012.632.135137.827.110.124.7—
SSCNet2019.0915.194.624.710.817.353.245.915.913.931.112.630.5—
SSCNetInput=D, Resolution=(240, 60)2021.1215.194.724.4012.632.135137.827.110.1—0.247
SSCNetInputs=TSDF, Input depth condition=noisy depth2023.0315.194.724.4012.632.135137.827.110.124.7—
SATNet-TNetFuseResolution=(60, 60), Trained on=NYU+SUNCG, RGB-D based=true2020.0317.392.12816.619.357.553.817.218.538.418.934.4—
SaTNet2019.0917.392.12816.619.357.553.817.718.538.418.934.4—
SATNetInput=RGB+D, Resolution=(60, 60)2021.1217.392.12816.619.357.553.817.218.538.418.9—0.344
ESSCNetResolution=(240, 60), Trained on=NYU, RGB-D based=false2020.0317.575.425.86.715.353.842.411.2033.411.826.7—
ESSCNetInput=D, Resolution=(240, 60)2021.1217.575.425.86.715.353.842.411.2033.411.8—0.267
VVNetR-120Resolution=(120, 60), Trained on=NYU+SUNCG, RGB-D based=false2020.0319.394.82812.219.65750.517.611.935.615.332.9—
VVNet2019.0919.394.82812.219.65750.517.611.935.615.332.9—
VVNetInput=D, Resolution=(120, 60)2021.1219.394.82812.219.65750.517.611.935.615.3—0.329
DDRNetResolution=(240, 60), Trained on=NYU, RGB-D based=true2020.0321.192.233.56.814.848.342.313.213.935.313.230.4—
DDRNetInput=RGB+D, Resolution=(60, 60)2021.1221.192.233.56.814.848.342.313.213.935.313.2—0.304
DDRNetInputs=RGB+D, Input depth condition=noisy depth2023.0321.192.233.56.814.848.342.313.213.935.313.230.4—
AIC-NetInput=RGB+D, Resolution=(60, 60)2021.1223.290.832.314.818.251.144.815.222.438.315.7—0.333
AIC-NetInputs=RGB+D, Input depth condition=noisy depth2023.0323.290.832.314.818.251.144.815.222.438.315.733.3—
CCPNetResolution=(240, 240), Trained on=NYU, RGB-D based=false2020.0323.596.335.720.225.861.456.118.128.137.820.138.5—
CCPNetInput=D, Resolution=(240, 240)2021.1223.596.335.720.225.861.456.118.128.137.820.1—0.385
CCPNetInputs=TSDF, Input depth condition=noisy depth2023.0323.596.335.720.225.861.456.118.128.137.820.138.5—
IPF-SPCNetInputs=RGB+Point, Input depth condition=noisy depth2023.0332.76641.217.234.755.34721.712.538.419.235.1—
SPCNetInput=D, Resolution=(240, 60)2021.1233.864.438.37.530.753.442.619.75.534.213.9—0.313
3D-RecGAN2019.0935.370.324.13.811.947.443.111.416.930.67.227.5—
ForkNetablation=without completion branch2019.0935.894.128.919.216.861.453.5231445.618.936.5—
ForkNetResolution=(80, 80), Trained on=NYU, RGB-D based=false2020.0336.293.829.218.917.761.652.923.319.545.42037.1—
ForkNet2019.0936.293.829.218.917.761.652.923.319.545.42037.1—
ForkNetInput=D, Resolution=(80, 80)2021.1236.293.829.218.917.761.652.923.319.545.420—0.371
ForkNetInputs=TSDF, Input depth condition=noisy depth2023.0336.293.829.218.917.761.652.923.319.545.42037.1—
ForkNetablation=without scene consistency2019.0936.891.72818.38.358.849.51316.742.617.634.7—
SSCNetevaluation_protocol=observed surface evaluation2019.0937.791.975.4642951.163.343.729.773.354.550.8—
ForkNetevaluation_protocol=observed surface evaluation2019.0941.590.869.654.827.753.166.344.427.174.757.555.2—
3D sketch-aware semantic scene completion frameworkResolution=(60, 60), Trained on=NYU, RGB-D based=true2020.0343.193.640.524.33057.149.329.214.342.528.641.1—
3D-SketchInput=RGB+D, Resolution=(60, 60)2021.1243.193.640.524.33057.149.329.214.342.528.6—0.411
3D-SketchInputs=RGB+TSDF, Backbone=ResNet50, Input depth condition=noisy depth2023.0343.193.640.524.33057.149.329.214.342.528.641.1—
IMENetInput=RGB+D, Resolution=(60, 60)2021.1243.693.642.931.336.657.648.432.11647.836.7—0.442
IMENetInputs=RGB+D, Input depth condition=noisy depth2023.0343.693.642.931.336.657.648.432.11647.836.744.2—
FFNetInputs=RGB+D+TSDF, Input depth condition=noisy depth2023.034493.741.529.336.25951.128.926.54532.644.4—
CleanerSInputs=RGB+TSDF, Backbone=Segformer-B2, Input depth condition=noisy depth2023.0346.393.943.233.738.562.254.833.739.245.733.847.7—
CleanerSInputs=RGB+TSDF, Backbone=ResNet50, Input depth condition=noisy depth2023.0348.29441.529.934.460.749.730.933.942.73145.2—
PVA-NetInput=D, Resolution=(60, 60)2021.1251.49449.915.941.968.358.835.412.948.529.1—0.46