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Unoriented Normal Vector Estimation on PCPNet

6.51RMSE (None)DeepFit
6.07649.003211.9314.8568Apr 15, 2019Jun 11, 2019Aug 7, 2019Oct 3, 2019Nov 29, 2019Jan 25, 2020Mar 23, 2020

Evaluation results

MethodLinks
DeepFitscale=ss2020.036.519.2116.7223.127.317.9211.8
Lenssen et al.scale=ss2020.036.729.9517.1821.967.737.5111.84
Deep Iterative Surface Normal Estimationk (neighborhood size)=64, L (iterations)=42019.046.729.9517.1821.967.517.7311.84
Nesti-Netscale=ms (MoE)2020.036.9910.1117.6322.2898.4712.41
Nesti-Net2019.046.9910.1117.6322.2898.4712.41
Jetscale=small (k=18)2020.037.612.3641.3953.218.498.6121.95
PCAscale=small (k=18)2020.038.311240.3652.639.149.4221.97
PCPNetscale=ms2020.039.6211.3718.8723.2811.711.1614.34
PCPNetscale=ss2020.039.6811.4618.2622.813.4211.7414.56
PCPNet2019.049.6811.4618.2622.813.4211.7414.56
HoughCNN2019.0410.2311.6222.6633.3911.0212.4716.9
Jetneighborhood size=optimal for average error2019.0412.2312.8418.3327.6813.1313.3916.29
PCAscale=med (k=122)2020.0312.2912.8718.3827.512.8113.6616.25
PCAneighborhood size=optimal for average error2019.0412.2912.8718.3827.512.8113.6616.25
Jetscale=med (k=122)2020.0312.3512.8418.3327.6813.1313.3916.29
PCAscale=large (k=450)2020.0316.7716.8718.9423.517.2619.8718.87
Jetscale=large (k=450)2020.0317.3517.4218.8523.4117.819.2919.02