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Novel View Synthesis on Mip-NeRF 360 1.0 (test)

27.69PSNROur Model
23.540424.617725.69526.7723Nov 23, 2021

Evaluation results

MethodLinks
Our ModelTraining Time (hrs)=6.89, # Parameters=9.9M2021.1127.690.7920.237———————————————
NeRF++config=bigger MLPs, Training Time (hrs)=19.88, # Parameters=9.0M2021.1126.390.750.293———————————————
Our Model w/GLOTraining Time (hrs)=6.9, # Parameters=9.9M2021.1126.260.7860.237———————————————
mip-NeRFconfig=bigger MLP, Training Time (hrs)=22.71, # Parameters=9.0M2021.1126.190.7480.285———————————————
Stable View Synthesis2021.1125.330.7710.211———————————————
NeRF++Training Time (hrs)=9.45, # Parameters=2.4M2021.1125.110.6760.375———————————————
mip-NeRFTraining Time (hrs)=3.17, # Parameters=0.7M2021.1124.040.6160.441———————————————
NeRF w/ DONERF parameterizationTraining Time (hrs)=4.59, # Parameters=1.4M2021.1124.030.6070.455———————————————
NeRFTraining Time (hrs)=4.16, # Parameters=1.5M2021.1123.850.6050.451———————————————
Point-Based Neural Rendering2021.1123.710.7350.252———————————————
Deep Blending2021.1123.70.6660.318———————————————
3DGStraining_scale=1x, testing_mode=Multi-scale2023.11———29.1923.520.7119.5923.250.880.740.6190.6190.7150.1070.2430.3940.4760.305
3DGS + EWAtraining_scale=1x, testing_mode=Multi-scale, filter=EWA2023.11———29.325.923.722.8125.430.880.7730.6670.6430.7410.1140.2360.3690.4490.292
Instant-NGPtraining_scale=1x, testing_mode=Multi-scale2023.11———26.7924.7624.2724.2725.020.7460.6390.6260.6980.6770.2390.3670.4450.4750.382
mip-NeRF 360training_scale=1x, testing_mode=Multi-scale2023.11———29.2625.1824.1624.125.670.860.7270.670.7060.7410.1220.260.370.4280.295
Mip-Splattingtraining_scale=1x, testing_mode=Multi-scale2023.11———29.3927.3926.4726.2227.370.8840.8080.7540.7650.8030.1080.2050.3050.3920.252
zip-NeRFtraining_scale=1x, testing_mode=Multi-scale2023.11———29.6623.2720.8720.2723.520.8750.6960.5650.5590.6740.0970.2570.4210.4940.318