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Scene Completion on NYUCAD (test)

86.5mIoUSISNet
32.52446.53760.5574.563Mar 2, 2019Jan 2, 2020Nov 3, 2020Sep 5, 2021Jul 8, 2022May 10, 2023Mar 12, 2024

Evaluation results

MethodLinks
SISNetResolution=(60, 60), Backbone=BiSeNet2021.0486.594.291.3
SISNet-BiSeNetpipeline type=iterative, train=NYUCAD2021.1186.594.291.3
SISNetType=Iterative2023.0186.594.291.3
SISNetResolution=(60, 60), Backbone=DeepLabv32021.0486.394.191.2
SISNet-DLabv3pipeline type=iterative, train=NYUCAD2021.1186.394.191.2
SISNetInputs=RGB+D, Backbone=DeepLabv32024.0386.394.191.2
Sketch-GEType=End-to-end2023.0186.194.490.6
CVSformerInputs=RGB+D, Backbone=DeepLabv32024.03869491
CCPNetpipeline type=straight-forward, train=SUNCG2021.1185.193.491.2
CCPNetTrained on=NYU+SUNCG2019.0885.193.491.2
PCANetInputs=RGB+D2024.0384.392.191.8
SketchResolution=(60, 60)2021.0484.290.692.2
SketchAwarepipeline type=straight-forward, train=NYUCAD2021.1184.290.692.2
SketchType=End-to-end2023.0184.290.692.2
3D-SketchInputs=RGB+D2024.0384.290.692.2
AMMNetInputs=RGB+D, Backbone=DeepLabv32024.0383.392.889
BiSeNetResolution=(60, 60), Type=Baseline2021.0482.892.389
DeepLabv3Resolution=(60, 60), Type=Baseline2021.0482.89289.3
SISNet-BaseType=End-to-end2023.0182.8——
CCPNetResolution=(240, 240)2021.0482.491.392.6
CCPNetpipeline type=straight-forward, train=NYUCAD2021.1182.491.392.6
CCPNetType=End-to-end2023.0182.491.392.6
CCPNetInputs=D2024.0382.491.392.6
AMMNetInputs=RGB+D2024.0382.492.488.4
CCPNetTrained on=NYU2019.0882.491.392.6
DDRNet-GEType=End-to-end2023.0181.289.490.2
PoinTrType=Depth Only2023.0180.989.891.7
AICNetResolution=(60, 60)2021.0480.588.290.3
AICNetType=End-to-end2023.0180.588.290.3
AIC-NetInputs=RGB+D2024.0380.588.290.3
VVNetTrained on=NYU+SUNCG2019.0880.386.492
GRFNet2020.0280.187.291
DDR-Net2019.0379.488.788.5
DDR-SSC2020.0279.488.788.5
DDRNetResolution=(60, 60)2021.0479.488.788.5
DDRNetType=End-to-end2023.0179.488.788.5
DDRNetInputs=RGB+D2024.0379.488.788.5
DDRNetTrained on=NYU2019.0879.488.788.5
SPAWNpipeline type=straight-forward, train=SUNCG2021.1178.986.390.1
TS3D,V2Trained on=NYU2019.0876.981.293.6
TS3D,V3+Trained on=NYU2019.0876.580.294.4
TS3DResolution=(240, 60)2021.0476.1——
TS3DType=End-to-end2023.0176.1——
SPAWNpipeline type=straight-forward, train=NYUCAD2021.1175.684.587.8
TS3D2019.0374.280.291
TS3D2020.0274.280.291
SSCNet2019.0373.275.496.3
SSCNet2020.0273.275.496.3
SSCNetResolution=(240, 60)2021.0473.275.496.3
SSCNetpipeline type=straight-forward, train=NYUCAD2021.1173.275.496.3
SSCNetType=End-to-end2023.0173.275.496.3
SSCNetInputs=D2024.0373.275.496.3
SSCNetTrained on=NYU+SUNCG2019.0873.275.496.3
SSCNetTrained on=NYU2019.0870.37592.3
Firman et al.2019.0350.866.569.7
Firman et al.2020.0250.866.569.7
Firman et al.Trained on=NYU2019.0850.866.569.7
Zheng et al.2019.0334.660.146.7
Zheng et al.2020.0234.660.146.7
Zheng et al.Trained on=NYU2019.0834.660.146.7