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3D Geometry Reconstruction on ScanNet

73.5AccuracyNeRF
-0.23618.90738.0557.193Mar 23, 2020Nov 22, 2020Jul 24, 2021Mar 26, 2022Nov 25, 2022Jul 27, 2023Mar 28, 2024

Evaluation results

MethodLinks
NeRF2022.0573.5—17.713.12917.6————————————————
UNISURF2022.0555.4—16.421.236.226.7————————————————
UNISURF2023.1055.4—16.421.236.226.7———————————————0.359
UNISURF2024.0355.4—16.421.236.226.7———————————————0.359
VolSDF2022.0541.4—1232.139.434.6————————————————
VolSDF2023.1041.4—1232.139.434.6———————————————0.267
VolSDF2024.0341.4—1232.139.434.6———————————————0.267
COLMAP*planar prior=true2022.0539.6—8.127.159.536.8————————————————
DPSNet2020.0328.40.4214.522.379.334.4————————————————
MVDepthNet2020.03240.518420.883.132.9————————————————
DeepVideoMVStraining_type=supervised2022.0520.6—3.228.682.742.4————————————————
NeuS2022.0517.9—20.831.327.529.1————————————————
NeuS2023.1017.9—20.831.327.529.1———————————————0.194
NeuS2024.0317.9—20.831.327.529.1———————————————0.194
COLMAP2020.0313.50.5996.950.563.455.8————————————————
Atlasvariant=plain2020.03130.1626.538.372.549.9————————————————
Atlasvariant=semseg2020.0312.40.1727.441.371.152————————————————
ACMPplanar prior=true2022.0511.8—8.153.158.155.5————————————————
PMVSfinetuned on ScanNet=false2021.129.3—30.365.131.740.9————————————————
GPMVS2020.037.90.4753.118.887.130.4————————————————
Atlas2021.127.8—9.760.754.657.3————————————————
GPMVSfinetuned on ScanNet=false2021.127.7—1548.645.345.9————————————————
ManhattanSDF2022.057.2—6.862.158.660.2————————————————
ManhattanSDF2022.057.2—6.862.158.660.2————————————————
Manhattan-SDF2023.107.2—6.862.158.660.2———————————————0.07
Manhattan-SDF2024.037.2—6.862.156.860.2———————————————0.07
DVMVSmode=fusion2021.126.7—12.855.750.452————————————————
FMVSfinetuned on ScanNet=false2021.125.9—18.45748.651.1————————————————
DVMVSmode=pair2021.125.9—14.559.548.952.4————————————————
NeuralRecon2021.125.8—10.863.650.956.4————————————————
GPMVSfinetuned on ScanNet=true2021.125.7—11.160.456.557.4————————————————
3DVNet2021.125.1—7.571.562.566.5————————————————
NeuRIS2023.105—4.971.766.969.2———————————————0.05
NeuRIS2024.035—4.971.766.969.2———————————————0.05
COLMAP2022.054.7—23.571.144.153.7————————————————
COLMAP2023.104.7—23.571.144.153.7———————————————0.141
COLMAP2024.034.7—23.571.144.153.7———————————————0.141
Total-Decom2024.034.4—474.774.874.7———————————————0.042
FMVSfinetuned on ScanNet=true2021.124.3—21.270.745.454.1————————————————
Attentive Depth Fusion PriorScene ID=05802023.104.1—3.5——————————————————0.038
PMVSfinetuned on ScanNet=true2021.123.9—25.673.843.352.9————————————————
Attentive Depth Fusion PriorScene ID=00842023.103.9—1.4——————————————————0.026
ObjSDF++2024.033.9—4.578.170.674———————————————0.042
MonoSDF2023.103.5—4.879.968.173.3———————————————0.042
MonoSDF2024.033.5—4.879.968.173.3———————————————0.042
Attentive Depth Fusion PriorScene ID=Avg.2023.103.4—3.9——————————————————0.037
Attentive Depth Fusion Prior2023.103.4—3.991.389.490.2———————————————0.037
NICE-SLAMScene ID=05802023.103.2—3.1——————————————————0.032
NICE-SLAMScene ID=00842023.103.1—2——————————————————0.025
NICE-SLAMScene ID=00502023.103—5.3——————————————————0.041
NICE-SLAMScene ID=Avg.2023.103—4.5——————————————————0.037
Attentive Depth Fusion PriorScene ID=00502023.103—4.3——————————————————0.037
NICE-SLAMScene ID=06162023.102.6—7.6——————————————————0.051
Attentive Depth Fusion PriorScene ID=06162023.102.6—6.3——————————————————0.045
Attentive Depth Fusion Prior2023.10———————33.94.12.63.44.31.43.56.33.90.0370.0260.0380.0450.037
ConvONetTraining Dataset=Synthetic Rooms, Input points=10k2023.11—————890.77———————————————
GO-Surf2023.10———————5.67.35.72.65.32.41.72.42.32.20.040.0450.040.0250.038
Mixing-Denoising Generalizable Occupancy NetworksDenoising=false, Training Dataset=ShapeNet (3k), Input points=10k2023.11—————860.69———————————————
Mixing-Denoising Generalizable Occupancy NetworksDenoising=true, Training Dataset=ShapeNet (3k), Input points=10k2023.11—————910.58———————————————
POCOTraining Dataset=ShapeNet (3k), Input points=10k2023.11—————721.03———————————————
SAPTraining Dataset=ShapeNet (3k), Input points=10k2023.11—————711.11———————————————