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Semantic Scene Completion on SemanticKITTI (test)

37.9SSC mIoUTALOS
4.963213.514122.06530.6159Apr 11, 2023Oct 7, 2023Apr 4, 2024Sep 30, 2024Mar 29, 2025Sep 24, 2025Mar 23, 2026

Evaluation results

MethodLinks
TALOS2024.1037.9—7353.651.328.440.846.41434.436.93050.638.85130.527.32.245.140.724.4—60.2
SCPNet2024.1036.7—68.549.851.330.738.846.413.833.234.929.146.440.148.728.224.71.844.740.425.1—56.1
S3CNet2024.1029.5—4222.5177.952.231.26.741.54516.139.53421.245.935.81631.33124.3—45.6
OccMamba + OursInput Modality=C&L2026.0326.4——————————————————————
OccMambaInput Modality=C&L2026.0324.6——————————————————————
Co-OccInput Modality=C&L2026.0324.4——————————————————————
SSC-RSInput Modality=L2026.0324.2——————————————————————
JS3C-Net2024.1023.8—64.739.934.914.139.433.37.214.48.812.743.119.640.585.10.430.418.915.9—56.6
JS3C-NetInput Modality=L2026.0323.8——————————————————————
SSA-SC2024.1023.5—72.243.737.410.943.636.55.713.94.67.443.525.641.84.42.60.730.714.56.9—58.8
M-CONet + OursInput Modality=C&L2026.0322.6——————————————————————
M-CONetInput Modality=C&L2026.0320.4——————————————————————
FlowSSC2026.0119.52—67.7536.6121.6041.6342.2319.320.640.6710.0838.112.2145.420.921.44012.1814.965.0656.97—
LightOccutilization of depth distribution predicted by the pre-trained model=true2024.1217.92—64.634.33615.42826.655.558.224.911.928.84.25.20.519.5106.944.63—
VOIC2025.1217.42—63.235.7367.228.327.47.74.44.75.827.112.828.32.500.220.69.49.745.69—
GaussianSSC2026.0317.153.258.126.518.60.328.136.416.70.751.78.534.312.337.71.32.809.520.67.6——
HTCL-SInput=S-T (temporal stereo images)2024.0717.09—64.434.833.812.425.927.35.71.82.25.425.310.831.21.13.10.921.198.344.23—
HTCLmulti-frame input=true2025.1217.09—64.434.833.812.425.927.35.71.82.25.425.310.831.21.13.10.921.198.344.23—
LMSCNetInput Modality=L2026.0317——————————————————————
CGFormer2026.0116.63—64.334.234.112.125.826.14.33.71.32.724.511.229.31.73.60.418.78.79.344.41—
CGFormer2025.1216.63—64.334.234.112.125.826.14.33.71.32.724.511.229.31.73.60.418.78.79.344.41—
CGFormerutilization of depth distribution predicted by the pre-trained model=true2024.1216.63—64.334.234.112.125.826.14.33.71.32.724.511.229.31.73.60.418.78.79.344.41—
ET-Former2026.0116.3—57.6425.816.680.8726.7436.1612.950.690.328.4133.9511.5837.011.332.580.329.5219.66.951.49—
ET-Former2026.0316.351.457.625.816.60.826.736.112.90.60.38.433.911.5371.32.50.39.519.66.9——
MVFormer2025.1215.81—59.731.529.512.524.423.92.83.72.46.226.811.224.93.12.62.216.88.47.843.02—
SGNmulti-frame input=true2025.1215.76—60.431.428.98.728.425.44.50.91.63.727.412.628.40.50.30.118.1108.345.42—
Symphonies2023.0615.0442.1958.429.326.911.724.723.63.23.62.65.624.21023.13.21.9216.17.78——
Symphonize2026.0115.04—58.429.326.911.724.723.63.23.62.65.624.21023.13.21.9216.17.7842.19—
Symphonies2025.1215.04—58.429.326.911.724.723.63.23.62.65.624.21023.13.21.9216.17.7842.19—
Symphoniesutilization of depth distribution predicted by the pre-trained model=true2024.1215.04—58.429.326.911.724.723.63.23.62.65.624.21023.13.21.9216.17.7842.19—
Symphonies2026.031542.158.429.326.911.724.723.63.23.62.65.624.21023.13.21.9216.17.78——
MonoOcc2026.0313.8—55.227.825.19.721.423.25.22.21.55.4248.7231.720.213.45.86.4——
VoxFormer-TInput=S-T (temporal stereo images)2024.0713.41—54.126.925.17.323.521.73.61.91.64.124.48.124.21.61.1013.16.65.743.21—
VoxFormervariant=T2026.0113.41—54.126.925.17.323.521.73.61.91.64.124.48.124.21.61.1013.16.65.743.21—
VoxFormermulti-frame input=true2025.1213.41—54.126.925.17.323.521.73.61.91.64.124.48.124.21.61.1013.16.65.743.21—
DepthSSC2026.0113.11—55.6427.2525.725.7820.4621.943.741.350.984.1723.377.6421.561.342.790.2812.945.876.2344.58—
OctreeOcc2026.0313.144.755.126.718.60.618.62816.40.60.7625.24.832.42.22.5043.72.3——
RenderOccInput Modality=C2026.0312.8——————————————————————
OccFormerInput Modality=Camera2023.0412.3234.5355.930.331.56.515.721.61.21.51.73.216.83.921.32.21.10.211.93.83.7——
OccFormer2023.0612.3234.5355.930.331.56.515.721.61.21.51.73.216.83.921.32.21.10.211.93.83.7——
OccFormerInput=M (single-frame monocular images)2024.0712.32—55.930.331.56.515.721.61.21.51.73.216.83.921.32.21.10.211.93.83.734.53—
OccFormer2026.0112.32—55.930.331.56.515.721.61.21.51.73.216.83.921.32.21.10.211.93.83.734.53—
OccFormer2025.1212.32—55.930.331.56.515.721.61.21.51.73.216.83.921.32.21.10.211.93.83.734.53—
OccFormer2024.1212.32—55.930.331.56.515.721.61.21.51.73.216.83.921.32.21.10.211.93.83.734.53—
OccFormerInput Modality=C2026.0312.3——————————————————————
OccFormer2026.0312.334.555.930.331.56.515.721.61.21.51.73.216.83.921.32.21.10.211.93.83.7——
VoxFormer2023.0612.242.9553.925.321.15.619.820.83.510.73.722.47.521.31.42.60.211.15.14.9——
VoxFormer-SInput=S (single-frame stereo images)2024.0712.2—53.925.321.15.619.820.83.510.73.722.47.521.31.42.60.211.15.14.942.95—
VoxFormervariant=S2026.0112.2—53.925.321.15.619.820.83.510.73.722.47.521.31.42.60.211.15.14.942.95—
VoxFormer2026.0312.242.953.925.321.15.619.820.83.510.73.722.47.521.31.42.60.211.15.14.9——
VoxFormerutilization of depth distribution predicted by the pre-trained model=true2024.1212.2—53.925.321.15.619.820.83.510.73.722.47.521.31.42.60.211.15.14.942.95—
SurroundOccInput Modality=C2026.0311.9——————————————————————
SurroundOccInput=M (single-frame monocular images)2024.0711.86—56.928.330.26.815.220.61.41.61.24.414.93.419.31.420.111.33.92.434.72—
NDC-Scene2025.1211.55—56.228.7285.615.819.71.81.11.14.914.32.620.60.71.70.411.23.21.733.87—
TPVFormerInput Modality=Camera2023.0411.2634.2555.127.227.46.514.819.23.710.52.313.92.620.41.12.40.3112.91.5——
TPVFormer2023.0611.2634.2555.127.227.46.514.819.23.710.52.313.92.620.41.12.40.3112.91.5——
TPVFormerInput=M (single-frame monocular images)2024.0711.26—55.127.227.46.514.819.23.710.52.313.92.620.41.12.40.3112.91.534.25—
TPVFormermulti-camera images as input=true2025.1211.26—55.127.227.46.514.819.23.710.52.313.92.620.41.12.40.3112.91.534.25—
TPVFormer2024.1211.26—55.127.227.46.514.819.23.710.52.313.92.620.41.12.40.3112.91.534.25—
TPVFormer2026.0311.234.255.127.227.46.514.819.23.710.52.313.92.620.41.12.40.3112.91.5——
MonoSceneInput Modality=C2026.0311.1——————————————————————
MonoSceneInput Modality=Camera2023.0411.0834.1654.727.124.85.714.418.83.30.50.74.414.92.419.511.40.411.13.32.1——
MonoSceneimplementation=reproduced in [17, 47]2023.0611.0834.1654.727.124.85.714.418.83.30.50.74.414.92.419.511.40.411.13.32.1——
MonoSceneInput=M (single-frame monocular images)2024.0711.08—54.727.124.85.714.418.83.30.50.74.414.92.419.511.40.411.13.32.134.16—
MonoScene2025.1211.08—54.727.124.85.714.418.83.30.50.74.414.92.419.511.40.411.13.32.134.16—
MonoScene2024.1211.08—54.727.124.85.714.418.83.30.50.74.414.92.419.511.40.411.13.32.134.16—
MonoScene2026.031134.154.727.124.85.714.418.83.30.50.74.414.92.419.511.40.411.13.32.1——
JS3C-NetInput Modality=Camera, adapted_for_rgb=true2023.048.973447.321.719.92.812.720.10.8004.114.23.112.400.20.28.71.90.3——
JS3C-Netsource=results provided by [3]2023.068.973447.321.719.92.812.720.10.8004.114.23.112.400.20.28.71.90.3——
AICNetInput Modality=Camera, adapted_for_rgb=true2023.047.0923.9339.318.319.81.69.615.30.70009.61.913.500050.10——
AICNetsource=results provided by [3]2023.067.0923.9339.318.319.81.69.615.30.70009.61.913.500050.10——
LMSCNetInput Modality=Camera, adapted_for_rgb=true2023.047.0731.3846.719.513.53.110.314.30.300010.8010.40005.400——
LMSCNetsource=results provided by [3]2023.067.0731.3846.719.513.55.110.314.30.300010.8010.40005.400——
3DSketchInput Modality=Camera, adapted_for_rgb=true2023.046.2326.8537.719.80012.117.1000012.1016.10003.400——
JS3C-Net2023.11—————————————————————56.6—
LiDiffGrid resolution (m)=0.52024.03—————————————————————42.49—
LiDiffGrid resolution (m)=0.22024.03—————————————————————33.12—
LiDiffGrid resolution (m)=0.12024.03—————————————————————11.02—
LiDiff refinedGrid resolution (m)=0.52024.03—————————————————————40.71—
LiDiff refinedGrid resolution (m)=0.22024.03—————————————————————38.92—
LiDiff refinedGrid resolution (m)=0.12024.03—————————————————————24.75—
LMSCNetGrid resolution (m)=0.52024.03—————————————————————32.23—
LMSCNetGrid resolution (m)=0.22024.03—————————————————————23.05—
LMSCNetGrid resolution (m)=0.12024.03—————————————————————3.48—
Local-DIFs2023.11—————————————————————57.7—
LODEGrid resolution (m)=0.52024.03—————————————————————43.56—
LODEGrid resolution (m)=0.22024.03—————————————————————47.88—
LODEGrid resolution (m)=0.12024.03—————————————————————6.06—
MIDGrid resolution (m)=0.52024.03—————————————————————45.02—
MIDGrid resolution (m)=0.22024.03—————————————————————41.01—
MIDGrid resolution (m)=0.12024.03—————————————————————16.98—
PVDGrid resolution (m)=0.52024.03—————————————————————21.2—
PVDGrid resolution (m)=0.22024.03—————————————————————7.96—
PVDGrid resolution (m)=0.12024.03—————————————————————1.44—
SCCNet2023.11—————————————————————29.8—
UltraLiDAR2023.11—————————————————————56—