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Models/P3Depth

P3Depth

Reported on 14 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision7 results

Depth EstimationonNYU-Depth V2
RMS· 2022-04-05
0.356
best: 0.792 (PAD-Net)
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior arXiv:2204.02091
Depth EstimationonNYU-Depth V2
Delta < 1.25· 2022-04-05
0.898
best: 0.989 (UniK3D (FT, metric))
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior arXiv:2204.02091
Depth EstimationonNYU-Depth V2
Delta < 1.25^2· 2022-04-05
0.981
best: 1 (HybridDepth)
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior arXiv:2204.02091
Depth EstimationonNYU-Depth V2
Delta < 1.25^3· 2022-04-05
0.996
best: 1 (HybridDepth)
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior arXiv:2204.02091
Depth EstimationonNYU-Depth V2
RMSE· 2022-04-05
0.356
best: 0.013 (Defocus/DepthNet (Normalized))
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior arXiv:2204.02091
Depth EstimationonNYU-Depth V2
absolute relative error· 2022-04-05
0.104
best: 0.026 (HybridDepth)
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior arXiv:2204.02091
Depth EstimationonNYU-Depth V2
log 10· 2022-04-05
0.043
best: 0.059 (SC-DepthV2)
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior arXiv:2204.02091

Methodology7 results

3DonNYU-Depth V2
RMS· 2022-04-05
0.356
best: 0.792 (PAD-Net)
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior arXiv:2204.02091
3DonNYU-Depth V2
Delta < 1.25· 2022-04-05
0.898
best: 0.989 (UniK3D (FT, metric))
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior arXiv:2204.02091
3DonNYU-Depth V2
Delta < 1.25^2· 2022-04-05
0.981
best: 1 (HybridDepth)
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior arXiv:2204.02091
3DonNYU-Depth V2
Delta < 1.25^3· 2022-04-05
0.996
best: 1 (HybridDepth)
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior arXiv:2204.02091
3DonNYU-Depth V2
RMSE· 2022-04-05
0.356
best: 0.013 (Defocus/DepthNet (Normalized))
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior arXiv:2204.02091
3DonNYU-Depth V2
absolute relative error· 2022-04-05
0.104
best: 0.026 (HybridDepth)
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior arXiv:2204.02091
3DonNYU-Depth V2
log 10· 2022-04-05
0.043
best: 0.059 (SC-DepthV2)
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior arXiv:2204.02091