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3D Surface Reconstruction on DTU (test)

0.51Mean Chamfer Distance (CD)TexGuided-GS2Mesh + PGSR
-0.76287.828616.4225.0114Jun 20, 2021Mar 13, 2022Dec 5, 2022Aug 29, 2023May 21, 2024Feb 12, 2025Nov 6, 2025

Evaluation results

MethodLinks
TexGuided-GS2Mesh + PGSRTime(hours)=0.6 (+0.15)2025.110.510.340.50.380.340.740.540.471.030.850.560.470.490.290.360.33———
PGSRTime(hours)=0.62025.110.530.340.550.40.360.780.570.491.080.870.590.490.510.30.370.34———
NeuralangeloTime(hours)=> 122025.110.610.370.720.350.350.870.540.531.290.970.730.470.740.320.410.43———
COLMAPFiltering method=Visual hull2021.120.650.450.910.370.370.910.541.221.080.640.480.590.320.450.43———
NeuralWarpFiltering method=Visual hull, Additional inputs=None2021.120.680.490.710.380.380.790.810.821.21.060.680.660.740.410.630.51———
Neural Warp2022.110.680.490.710.380.380.790.810.821.21.060.680.660.740.410.630.51———
ProbeSDF(ns, na, l)=(4, 4, 4), per-camera bias vectors=true, Training time=150s, Model size=56MB2024.120.68————————————————37.03—
TexGuided-GS2Mesh + 2DGSTime(hours)=0.2 (+0.1)2025.110.70.40.750.30.330.960.760.711.241.20.60.551.40.390.550.4———
ProbeSDF(ns, na, l)=(8, 8, 4), per-camera bias vectors=true, Training time=160s, Model size=88MB2024.120.71————————————————37.74—
TexGuided-GS2Mesh + GOFTime(hours)=0.3 (+0.1)2025.110.720.420.760.350.331.220.740.661.131.230.70.651.140.430.570.46———
VoxurfTraining time=15min, Model size=500MB2024.120.73————————————————37.08—
NeuralUDF2022.110.750.691.180.670.440.90.660.671.320.940.950.570.860.370.560.55———
GS-PullTraining Time=21.8m2024.100.75——————————————————
2DGSTraining time=12min, Model size=49MB2024.120.76————————————————36.03—
HF-NeuSMetric Type=Fidelity (Chamfer distance), Threshold=252022.060.770.761.320.70.391.060.630.631.151.120.80.521.220.330.490.5———
NeuSmask_supervision=w/ mask2021.060.770.830.980.560.371.130.590.61.450.950.780.521.430.360.450.45———
2DGSTime(hours)=0.22025.110.770.490.820.340.420.950.860.821.291.240.660.641.440.410.670.5———
GOFTime(hours)=0.32025.110.780.470.820.40.361.280.830.761.191.240.750.741.120.490.690.57———
2DGSTraining Time=20.5m2024.100.8——————————————————
NeuS2Training time=5min, Model size=25MB2024.120.8————————————————36—
NeuSmask_supervision=w/o mask2021.060.8411.370.930.431.10.650.571.481.090.830.521.20.350.490.54———
NeuSTraining Time=~9h2024.100.84——————————————————
NeuSTime(hours)=> 122025.110.8411.370.930.431.10.650.571.481.090.830.521.20.350.490.54———
VolSDFFiltering method=Visual hull, Additional inputs=None2021.120.861.141.260.810.491.250.70.721.291.180.70.661.080.420.610.55———
VOLSDFMetric Type=Fidelity (Chamfer distance), Threshold=252022.060.861.141.260.810.491.250.70.721.291.180.70.661.080.420.610.55———
VolSdf2022.110.861.141.260.810.491.250.70.721.291.180.70.661.080.420.610.55———
NeuSFiltering method=Visual hull, Additional inputs=None2021.120.871.371.210.730.41.20.70.721.011.160.820.661.690.390.490.51———
NeuSMetric Type=Fidelity (Chamfer distance), Threshold=252022.060.871.371.210.730.41.20.70.721.011.160.820.661.690.390.490.51———
NeuS2022.110.871.371.210.730.41.20.70.721.011.160.820.661.690.390.490.51———
MVSDFFiltering method=Custom filtering2021.120.880.831.760.880.441.110.90.751.261.021.350.870.840.340.470.46———
GSurfelsTraining Time=10.9m2024.100.88——————————————————
IDRFiltering method=Visual hull2021.120.91.631.870.630.481.040.790.771.331.160.760.670.90.420.510.53———
IDRextra object masks used=true2022.110.91.631.870.630.481.040.790.771.331.160.760.670.90.420.510.53———
IDRmask_supervision=w/ mask2021.060.91.631.870.630.481.040.790.771.331.160.760.670.90.420.510.53———
UFOReconcategory=generalizable surface reconstruction, random set training=false2024.030.990.762.051.310.821.121.180.741.171.110.710.880.580.540.860.99———
UFOReconcategory=generalizable surface reconstruction, random set training=true2024.031.010.772.11.340.871.151.160.711.251.170.810.90.570.510.860.97———
UNISURFFiltering method=Visual hull, Additional inputs=None2021.121.021.321.361.720.441.350.790.81.491.370.890.591.470.460.590.62———
UniSurf2022.111.021.321.361.720.441.350.790.81.491.370.890.591.470.460.590.62———
UNISURFmask_supervision=w/o mask2021.061.021.321.361.720.441.350.790.81.491.370.890.591.470.460.590.62———
GenSfine-tuned=true, input views=42024.061.030.912.331.460.751.021.580.741.161.050.770.880.560.490.780.93———
C2F2NeuScategory=generalizable surface reconstruction2024.031.111.122.421.40.751.411.770.851.161.260.760.910.60.460.880.92———
RETRcategory=generalizable surface reconstruction2024.031.171.052.311.440.981.181.520.881.351.30.871.070.770.591.051.12———
SparseNeuScategory=per-scene surface reconstruction, fine-tuned=true2024.031.271.292.271.570.881.611.861.061.271.421.070.990.870.541.151.18———
SparseNeuSfine-tuned=true, input views=42024.061.271.292.271.570.881.611.861.061.271.421.070.990.870.541.151.18———
SuGaRTraining Time=1.6h2024.101.33——————————————————
GenSinput views=42024.061.341.452.771.690.971.541.91.031.491.360.971.070.970.621.141.16———
TransMVSNetcategory=traditional 3D reconstruction2024.031.351.073.142.391.31.351.610.731.61.150.941.340.460.61.21.46———
Colmap2022.111.360.812.050.731.221.791.581.023.051.42.0511.320.490.781.17———
COLMAPmask_supervision=w/o mask, trim=02021.061.360.812.051.851.221.791.581.023.051.42.0511.320.490.781.17———
VolReconcategory=generalizable surface reconstruction2024.031.381.22.591.561.081.431.921.111.481.421.051.191.380.741.231.27———
VolReconground-truth depth supervision=true, input views=42024.061.381.22.591.561.081.431.921.111.481.421.051.191.380.741.231.27———
TexGuided-GS2Mesh + 3DGSTime(hours)=0.2 (+0.1)2025.111.451.251.321.531.032.552.051.091.811.591.421.462.040.960.810.86———
NeRFFiltering method=Visual hull2021.121.491.91.61.850.582.281.271.471.672.051.070.882.531.061.150.96———
NeRFMetric Type=Fidelity (Chamfer distance), Threshold=252022.061.491.91.61.850.582.281.271.471.672.051.070.882.531.061.150.96———
NeRF2022.111.491.91.61.850.582.281.271.471.672.051.070.882.531.061.150.96———
NeRFmask_supervision=w/o mask2021.061.491.91.61.360.932.281.271.471.672.051.070.882.531.061.150.96———
COLMAPcategory=traditional 3D reconstruction2024.031.520.92.891.631.082.181.941.611.32.341.281.11.420.761.171.14———
COLMAPinput views=42024.061.520.92.891.631.082.181.941.611.32.341.281.11.420.761.171.14———
NeRFmask_supervision=w/ mask2021.061.541.832.391.790.661.791.441.51.21.961.271.442.611.041.130.99———
3DGSTime(hours)=0.22025.111.631.451.461.851.472.562.191.261.931.731.511.692.041.191.091.1———
SparseNeuScategory=generalizable surface reconstruction, fine-tuned=false2024.031.641.683.062.251.12.372.181.281.471.81.231.191.170.751.561.55———
SparseNeuSinput views=42024.061.641.683.062.251.12.172.181.281.471.81.231.191.170.751.561.55———
DN-SplatterTraining Time=31.2m2024.101.7——————————————————
IBRNetfine-tuned=true, input views=42024.061.91.672.972.261.562.522.31.52.052.021.731.661.631.171.841.61———
3DGSTraining Time=15.1m2024.101.96——————————————————
MVSNeRFcategory=generalizable novel-view synthesis2024.032.091.963.272.541.932.572.711.821.722.291.751.721.471.292.092.26———
MVSNerfinput views=42024.062.091.963.272.541.932.572.711.821.722.291.751.721.471.292.092.26———
IBRNetcategory=generalizable novel-view synthesis2024.032.322.293.72.661.833.022.831.772.282.731.961.872.131.582.052.09———
IBRNetinput views=42024.062.322.293.72.661.833.022.831.772.282.731.961.872.131.582.052.09———
VolSDFcategory=per-scene surface reconstruction2024.033.414.034.216.121.633.242.732.841.635.143.092.084.810.63.512.18———
VolSDFper-scene optimization=true, input views=42024.063.414.034.216.120.918.241.732.741.825.143.092.084.810.63.512.18———
NeuSper-scene optimization=true, input views=42024.0644.574.493.974.324.631.954.683.834.152.51.526.471.265.576.11———
NeuScategory=per-scene surface reconstruction2024.034.94.574.493.974.324.631.954.643.835.45.66.476.682.965.576.11———
PixelNeRFcategory=generalizable novel-view synthesis2024.036.285.138.075.854.47.114.645.686.769.056.113.955.926.266.896.93———
PixelNerfinput views=42024.066.285.138.075.854.47.114.645.686.769.056.113.955.926.266.896.93———
VOLSDFMetric Type=PSNR2022.0630.3826.2825.6126.5526.7631.5731.529.3833.2328.0332.1333.1631.4930.3334.934.75———
NeRFMetric Type=PSNR2022.0630.6526.2425.7426.7927.5731.9631.529.5832.7828.3532.0833.4931.543135.5935.51———
NeuSMetric Type=PSNR2022.0631.9728.227.128.1328.832.0533.7530.9634.4729.5732.9835.0732.7431.6936.9737.07———
HF-NeuSMetric Type=PSNR2022.0632.3329.1527.3328.3728.8832.8933.8431.1734.8330.0633.3735.4433.0932.1237.1337.32———
DVR2021.11——————————————————1.06
DVR2021.11——————————————————0.95
IDR2021.11——————————————————0.79
IDR2021.11——————————————————0.67
NeRF2021.11——————————————————1.44
NeRF2021.11——————————————————1.44
NeuS2021.11——————————————————0.72
NeuS2021.11——————————————————0.66
nvdiffrecSDF Parameterization=MLP2021.11——————————————————1.03
nvdiffrecSDF Parameterization=MLP2021.11——————————————————1.07