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Semantic Scene Completion on SemanticKITTI (val)

40.1mIoU (Mean IoU)SSA-SC
9.919217.754625.5933.4254Dec 16, 2020Nov 14, 2021Oct 13, 2022Sep 12, 2023Aug 10, 2024Jul 9, 2025Jun 8, 2026

Evaluation results

MethodLinks
SSA-SCInput priors: Sem.=✓ Oracle, Input priors: Vis.=✓2026.0640.1———————————————————59.8
TALoSoptimization=multi-frame test-time optim.2026.0639.3———————————————————56.1
SCPNetnotes=non-reproducible2026.0637.6———————————————————50.2
JS3C-NetInput priors: Sem.=✓ Oracle, Input priors: Vis.=✓2026.0633.7———————————————————57.8
SemCity-AEInput priors: Sem.=✓ Oracle, Input priors: Vis.=✓2026.0633.5———————————————————56.4
S3CNetnotes=no code2026.0633.1———————————————————57.2
LMSCNet-SSInput priors: Sem.=✓ Oracle, Input priors: Vis.=✓2026.0631———————————————————57.7
SSA-SCInput priors: Sem.=✓ WI-TTA, Input priors: Vis.=✓2026.0628.8———————————————————59.1
S3CNetdimension=2D2020.1227.003————————————————————
DPS2CNetInput priors: Sem.=✗ [paper], Input priors: Vis.=✗2026.0626.7———————————————————60.8
DiffSSCInput priors: Sem.=✗ [paper], Input priors: Vis.=✗2026.0626.7———————————————————60.3
DPS2CNetCategory=SSC2026.0626.7———————————————————60.8
DiffSSCCategory=SSC2026.0626.7———————————————————60.3
SemCity-AEInput priors: Sem.=✓ WI-TTA, Input priors: Vis.=✓2026.0625.7———————————————————56.7
SemCity refinedetails=GT occupancy leakage2026.0625.6———————————————————60.7
JS3C-NetInput priors: Sem.=✓ WI-TTA, Input priors: Vis.=✓2026.0624.7———————————————————56.7
SSA-SCInput priors: Sem.=✗ [paper], Input priors: Vis.=✗2026.0624.5———————————————————58.3
JS3C-NetInput priors: Sem.=✗ [paper], Input priors: Vis.=✗2026.0624———————————————————57
JS3C-NetCategory=SSC2026.0624———————————————————57
LMSCNet-SSInput priors: Sem.=✓ WI-TTA, Input priors: Vis.=✓2026.0623———————————————————57.4
LODEInput priors: Sem.=✗ [paper], Input priors: Vis.=✗2026.0620.2———————————————————51.2
SalsaNext2020.1217.8————————————————————
TS3DInput priors: Sem.=✗ [paper], Input priors: Vis.=✗2026.0617.7———————————————————50.6
TS3DCategory=SSC2026.0617.7———————————————————50.6
VOICTimes (s)=0.262, Params (M)=45.42025.1217.42————————————————————
CGFormer + PNAMRefinement=PNAM2025.1217.2765.2731.920.871622.734.1123.715692948.3626.6311.4238.9126443709.0811.787.6644.33
CGFormer + VLGMRefinement=VLGM2025.1217.2165.5232.3120.791323.2734.3322.335243017.8126.6910.7339.2927041208.9511.937.8243.2
CGFormer + 3D U-NetRefinement=3D U-Net2025.1217.1765.2932.1420.261323.1133.9922.395283118.2226.8411.1738.9926540508.9311.937.8443.53
HTCL-SInput=temporal stereo images (S-T)2024.0717.1363.732.4823.270.1424.1334.320.723.992.811.9926.968.7937.732.562.3011.2211.496.9545.51
LightOccutilization of depth distribution predicted by pre-trained model=true2024.1217.086333.0122.861.6325.1530.8215.14.276.4413.9825.789.7936.456.052.5010.5911.855.2243.83
LMSCNetCategory=SSC2026.0617———————————————————55.7
CGFormerInput=Stereo, Backbone=EfficientNetB72024.0516.8765.5132.3120.820.1623.5234.3219.444.612.717.6726.938.8339.542.384.0809.210.677.8445.99
CGFormerRefinement=None2025.1216.8765.5132.3120.821623.5234.3219.444612717.6726.938.8339.5423840809.210.677.8445.99
DBLIDARNet2020.1216.82————————————————————
LMSCNet-SSInput priors: Sem.=✗ [retrained], Input priors: Vis.=✗2026.0616.6———————————————————55.6
SemCity-AEInput priors: Sem.=✗, Input priors: Vis.=✗2026.0616.4———————————————————53.9
LightOccsupervision using dense depth predictions rather than sparse LiDAR depth labels=true2024.1215.0559.7230.3422.50.1616.9927.9725.253.554.2717.4218.713.9431.945.142.0809.425.441.1437.39
LightOcc2024.1214.9360.0830.5822.80.1116.0428.121.883.884.4517.8518.773.7431.884.982.3808.995.321.7937.25
Symphonies2023.0614.8956.3727.5815.280.9521.6428.6820.442.542.8213.8925.726.630.873.522.2408.49.575.7641.92
SymphonizeInput=Stereo, Backbone=MaskDINO2024.0514.8956.3727.5815.280.9521.6428.6820.442.542.8213.8925.726.630.873.522.2408.49.575.7641.92
SymphonizeTimes (s)=0.319, Params (M)=59.32025.1214.89————————————————————
SymphonizeRefinement=None2025.1214.8956.3727.5815.289521.6428.6820.4425428213.8925.726.630.8735222408.49.575.7641.92
Symphoniesutilization of depth distribution predicted by pre-trained model=true2024.1214.8956.3727.5815.280.9521.6428.6820.442.542.8213.8925.726.630.873.522.2408.49.575.7641.92
HDUNet2020.1214.86————————————————————
HASSC-TInput=Stereo-T, Backbone=ResNet502024.0514.7455.329.625.911.323.1232.91.91.54.924.89.826.51.43014.377.144.58
H2GFormer-TInput=Stereo-T, Backbone=ResNet502024.0514.295729.3721.740.3420.5128.216.80.950.919.3227.447.836.261.150.107.989.885.8144.69
OccGen2024.1213.7461.2828.320.420.4314.4926.8315.491.62.5312.8320.043.9432.443.23.3706.944.112.7736.87
H2GFormer-SInput=Stereo, Backbone=ResNet502024.0513.7356.0829.1217.830.4519.7428.21100.50.477.3926.256.834.421.542.8807.247.884.6844.57
H2GFormer-SRefinement=None2025.1213.7356.0829.1217.834519.7428.211050477.3926.256.834.4215428807.247.884.6844.57
HASSC-SInput=Stereo, Backbone=ResNet502024.0513.4857.0528.2515.91.0419.0527.239.910.920.865.6125.486.1532.942.84.7106.587.684.0544.82
HASSC-SRefinement=None2025.1213.4857.0528.2515.910419.0527.239.9192865.6125.486.1532.9428047106.587.684.0544.82
OccFormerreproduced=true2023.0613.4658.8526.8819.610.3114.425.0925.530.811.198.5219.633.9332.622.782.8205.614.262.8636.5
OccFormer2023.1213.4658.8426.8819.610.3114.425.0925.530.811.198.5219.633.9332.632.782.8205.614.262.8636.5
OccFormerInput=Camera, FLOPs=889G2024.0413.4658.8526.8819.610.3114.425.0925.530.811.198.5219.633.9332.622.782.8205.614.262.8636.5
OccFormerInput=Mono, Backbone=EfficientNetB72024.0513.4658.8526.8819.610.3114.425.0925.530.811.198.5219.633.9332.622.782.8205.614.262.8636.5
OccFormerTimes (s)=0.338, Params (M)=203.42025.1213.46————————————————————
OccFormerRefinement=None2025.1213.4658.8526.8819.613114.425.0925.53811198.5219.633.9332.6227828205.614.262.8636.5
OccFormer2024.1213.4658.8526.8819.610.3114.425.0925.530.811.198.5219.633.9332.622.782.8205.614.262.8636.5
Symphonies2023.1213.4455.7826.7714.570.1918.7627.2315.991.442.289.5224.54.3228.493.198.0906.188.995.3941.44
VoxFormer-TInput=Stereo-T, Backbone=ResNet502024.0513.3553.5726.5219.690.4219.5426.547.261.280.567.8126.16.133.061.931.9707.319.154.9444.15
VoxFormer-TInput=temporal stereo images (S-T)2024.0713.3553.5726.5219.690.4219.5426.548.11.280.567.8126.16.133.061.931.9707.319.154.9444.15
VoxFormerTimes (s)=0.256, Params (M)=57.92025.1213.35————————————————————
DepthSSCInput=Stereo, Backbone=ResNet502024.0513.2855.3827.0418.760.9219.2325.946.020.351.167.526.374.5230.192.586.3208.467.424.0945.84
DepthSSCRefinement=None2025.1213.2855.3827.0418.769219.2325.946.02351167.526.374.5230.1925863208.467.424.0945.84
SPOT-OccInput=C2026.0213.2759.3328.4621.041.2615.1926.4216.11.081.5911.8818.9730331.571.821.1606614.12.5636.4
OctreeOcc2023.1213.1255.1326.7418.680.6518.6928.0716.430.640.716.0325.264.8932.472.252.5704.013.722.3644.71
SparseOccInput=Camera, FLOPs=393G2024.0413.1259.5929.6820.440.4715.4124.0318.070.780.898.9418.893.4631.063.680.6206.733.892.636.48
SSv2CRF=false2020.1212.94————————————————————
NDC-SceneSSC Input=RGB2023.0912.759.228.2421.421.6714.9426.2614.751.672.377.7319.093.5131.043.62.7406.654.532.73—
NDC-Scene2023.0612.759.228.2421.421.6714.9426.2614.751.672.377.7319.093.5131.043.62.7406.654.532.7337.24
EditSSCCategory=Editable SSC2026.0612.5———————————————————42.1
IAMSSCInput=Mono, Backbone=ResNet502024.0512.4554.5525.8516.020.717.3826.268.740.60.155.0624.634.9530.131.323.460.016.866.353.5644.29
IAMSSCRefinement=None2025.1212.4554.5525.8516.027017.3826.268.7460155.0624.634.9530.131323460.016.866.353.5644.29
VoxFormer2023.0612.3554.7626.3515.50.717.6525.795.630.590.513.7724.395.0829.961.783.3207.647.114.1844.02
VoxFormer2023.1212.3554.7626.3515.50.717.6525.795.630.590.513.7724.395.0829.961.783.3207.647.114.1844.02
VoxFormer-SInput=Stereo, Backbone=ResNet502024.0512.3554.7626.3515.50.717.6525.795.630.590.513.7724.395.0829.961.783.3207.647.114.1844.02
VoxFormer-SInput=single-frame stereo images (S)2024.0712.3554.7626.3515.50.717.6525.797.260.590.513.7724.395.0829.961.783.3207.647.114.1844.02
VoxFormer-SRefinement=None2025.1212.3554.7626.3515.57017.6525.795.6359513.7724.395.0829.9617833207.647.114.1844.02
VoxFormerutilization of depth distribution predicted by pre-trained model=true2024.1212.3554.7626.3515.50.717.6525.795.630.590.513.7724.395.0829.961.783.3207.647.114.1844.02
SparseOcc†Input=C2026.0212.2159.6728.0613.230.1415.3325.129.220.681.498.6419.0135130.932.291.2106594.242.6735.92
PointSeg2020.1212.04————————————————————
MonoScene + PNAMRefinement=PNAM2025.1211.5156.2726.7114.6514513.4823.1111.3840733.5917.082.9629.4529516906.23.842.6936.44
MonoSceneSSC Input=RGB2023.0911.557.4727.0515.720.8714.2423.557.830.20.773.5918.122.5730.761.791.0306.394.112.48—
MonoSceneInput=single-frame monocular images (M)2024.0711.557.4727.0515.720.8714.2423.557.830.20.773.5918.122.5730.761.791.0306.394.112.4837.12
MonoScene2024.1211.557.4727.0515.720.8714.2423.557.830.20.773.5918.122.5730.761.791.0306.394.112.4837.12
MonoScene + VLGMRefinement=VLGM2025.1211.4956.4826.6414.3514213.5522.7612.4544713.1216.442.9729.530416406.283.852.6535.62
MonoScene + 3D U-NetRefinement=3D U-Net2025.1211.4756.2426.6314.9514213.1123.4610.9541873.6916.752.7329.5729816406.193.772.6235.7
TPVFormerreproduced=true2023.0611.3656.525.8720.60.8513.8823.818.080.360.054.3516.922.2630.380.510.8905.943.141.5235.61
TPVFormer2023.1211.3656.525.8720.60.8513.8823.818.080.360.054.3516.922.2630.380.510.8905.943.141.5235.61
TPVFormerInput=Camera, FLOPs=946G2024.0411.3656.525.8720.60.8513.8823.818.080.360.054.3516.922.2630.380.510.8905.943.141.5235.61
TPVFormerInput=Mono, Backbone=EfficientNetB72024.0511.3656.525.8720.60.8513.8823.818.080.360.054.3516.922.2630.380.510.8905.943.141.5235.61
TPVFormerInput=C2026.0211.3656.525.8720.60.8513.8823.818.080.360.054.3516.9222630.380.510.8905943.141.5235.61
TPVFormerRefinement=None2025.1211.3656.525.8720.68513.8823.818.083654.3516.922.2630.38518905.943.141.5235.61
TPVFormer2024.1211.3656.525.8720.60.8513.8823.818.080.360.054.3516.922.2630.380.510.8905.943.141.5235.61
MonoScenereproduced=true2023.0611.0856.5226.7214.270.4614.0923.266.980.610.451.4817.892.8129.641.861.205.844.142.2536.86
MonoScene2023.1211.0856.5226.7214.270.4614.0923.266.980.610.451.4817.892.8129.641.861.205.844.142.2536.86
MonoSceneInput=Camera2024.0411.0856.5226.7214.270.4614.0923.266.980.610.451.4817.892.8129.641.861.205.844.142.2536.86
MonoSceneInput=Mono, Backbone=EfficientNetB72024.0511.0856.5226.7214.270.4614.0923.266.980.610.451.4817.892.8129.641.861.205.844.142.2536.86
MonoSceneInput=C2026.0211.0856.5226.7214.270.4614.0923.266.980.610.451.4817.8928129.641.861.205844.142.2536.86
MonoSceneTimes (s)=0.274, Params (M)=132.42025.1211.08————————————————————