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Models/Metric3Dv2 (g2, FT, 80m, flip_aug_test)

Metric3Dv2 (g2, FT, 80m, flip_aug_test)

Reported on 12 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Computer Vision6 results

  • Depth EstimationonKITTI Eigen split
    Delta < 1.25· uses extra data· 2024-03-22
    0.989
    best: 0.99 (SPIDepth)
    SOTA
    Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal EstimationarXiv:2404.15506
  • Depth EstimationonKITTI Eigen split
    RMSE log· uses extra data· 2024-03-22
    0.06
    best: 0.048 (SPIDepth)
    SOTA
    Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal EstimationarXiv:2404.15506
  • Depth EstimationonKITTI Eigen split
    absolute relative error· uses extra data· 2024-03-22
    0.039
    best: 0.029 (SPIDepth)
    SOTA
    Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal EstimationarXiv:2404.15506
  • Depth EstimationonKITTI Eigen split
    Delta < 1.25^2· uses extra data· 2024-03-22
    0.998
    best: 0.999 (SPIDepth)
    Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal EstimationarXiv:2404.15506
  • Depth EstimationonKITTI Eigen split
    Delta < 1.25^3· uses extra data· 2024-03-22
    1
    Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal EstimationarXiv:2404.15506
  • Depth EstimationonKITTI Eigen split
    RMSE· uses extra data· 2024-03-22
    1.766
    best: 1.394 (SPIDepth)
    Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal EstimationarXiv:2404.15506

Methodology6 results

  • 3DonKITTI Eigen split
    Delta < 1.25· uses extra data· 2024-03-22
    0.989
    best: 0.99 (SPIDepth)
    SOTA
    Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal EstimationarXiv:2404.15506
  • 3DonKITTI Eigen split
    RMSE log· uses extra data· 2024-03-22
    0.06
    best: 0.048 (SPIDepth)
    SOTA
    Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal EstimationarXiv:2404.15506
  • 3DonKITTI Eigen split
    absolute relative error· uses extra data· 2024-03-22
    0.039
    best: 0.029 (SPIDepth)
    SOTA
    Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal EstimationarXiv:2404.15506
  • 3DonKITTI Eigen split
    Delta < 1.25^2· uses extra data· 2024-03-22
    0.998
    best: 0.999 (SPIDepth)
    Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal EstimationarXiv:2404.15506
  • 3DonKITTI Eigen split
    Delta < 1.25^3· uses extra data· 2024-03-22
    1
    Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal EstimationarXiv:2404.15506
  • 3DonKITTI Eigen split
    RMSE· uses extra data· 2024-03-22
    1.766
    best: 1.394 (SPIDepth)
    Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal EstimationarXiv:2404.15506