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View Synthesis on KITTI (test)

22.17PSNRLoLep-64 (full)
13.860416.017718.17520.3323May 31, 2023Jun 8, 2023Jun 17, 2023Jun 26, 2023Jul 5, 2023Jul 14, 2023Jul 23, 2023

Evaluation results

MethodLinks
LoLep-64 (full)Number of planes=64, Memory (train/inference)=32421 / 5639, Converge Iterations=28k, Image Resolution=384 x 1282023.0722.17—0.1170.82849.53
LoLep-32 (full)Number of planes=32, Memory (train/inference)=17208 / 3478, Converge Iterations=25k, Image Resolution=384 x 1282023.0722.07—0.1220.82589.61
LoLep-16 (full)Number of planes=16, Memory (train/inference)=10868 / 2232, Converge Iterations=24k, Image Resolution=384 x 1282023.0721.88—0.1340.82138.74
MINENumber of planes=64, Memory (train/inference)=28457 / 5287, Converge Iterations=34k, Image Resolution=384 x 1282023.0721.65—0.1270.818197.65
MINENumber of planes=32, Memory (train/inference)=14351 / 3167, Converge Iterations=30k, Image Resolution=384 x 1282023.0721.52—0.1340.813492.5
MINENumber of planes=16, Memory (train/inference)=8495 / 2039, Converge Iterations=30k, Image Resolution=384 x 1282023.0721.48—0.1460.806839.17
MPINumber of planes=32, Image Resolution=384 x 1282023.0719.5——0.733—
FlowCamtype=unposed method2023.0517.69—0.4046——
LDIImage Resolution=384 x 1282023.0716.5——0.572—
Vid-AEtype=unposed method2023.0515.17—0.4618——
RUSTtype=unposed method2023.0514.18—0.6541——
App. Flow2017.02—0.471———
Deep Voxel FlowFine-tuning=false2017.02—0.336———
Deep Voxel FlowFine-tuning=true2017.02—0.178———
Recons. Views2017.02—0.492———