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3D Reconstruction on Google Scanned Objects (test)

0.03LPIPSGS-LRM
0.020040.087270.15450.22173Apr 4, 2024May 15, 2024Jun 26, 2024Aug 6, 2024Sep 17, 2024Oct 28, 2024Dec 9, 2024

Evaluation results

MethodLinks
GS-LRMInput views=8, Resolution=Res-2562024.060.0331.90.966——
GS-LRMInput views=8, Resolution=Res-5122024.060.03133.230.971——
LRM-ZeroInput views=8, Resolution=Res-2562024.060.03630.780.957——
LRM-ZeroInput views=8, Resolution=Res-5122024.060.03931.620.96——
GS-LRM#Param(M)=3002024.120.0530.520.952——
Generative Densification#Param(M)=134, training_epochs=502024.120.05831.060.966——
Generative Densification (w/ residual)#Param(M)=134, training_epochs=50, residual_learning=true2024.120.05831.230.967——
LaRa#Param(M)=1252024.120.0629.70.959——
Generative Densification (fast)#Param(M)=134, training_epochs=302024.120.06230.620.964——
LGM#Param(M)=4152024.120.06323.670.917——
SAP3DNumber of input images=42024.040.1119.60.850.02367
SAP3DNumber of input images=52024.040.1119.80.860.01968
SAP3DNumber of input images=32024.040.1418.50.830.02457
MVSNeRF#Param(M)=0.522024.120.15415.210.912——
SAP3DNumber of input images=22024.040.16180.830.04151
Zero-1-to-3Number of input images=12024.040.2314.10.820.16825
MuRF#Param(M)=15.72024.120.27912.890.885——