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Models/Depth Anything

Depth Anything

Reported on 32 benchmarks across 4 tasks · 1 paper · 8 SOTA

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

Computer Vision15 results

  • Depth EstimationonNYU-Depth V2
    Delta < 1.25· uses extra data· 2024-01-19
    0.984
    best: 0.989 (UniK3D (FT, metric))
    SOTA
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • Depth EstimationonNYU-Depth V2
    Delta < 1.25^2· uses extra data· 2024-01-19
    0.998
    best: 1 (HybridDepth)
    SOTA
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • Depth EstimationonNYU-Depth V2
    Delta < 1.25^3· uses extra data· 2024-01-19
    1
    SOTA
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • Depth EstimationonETH3D
    Delta < 1.25· 2024-01-19
    0.882
    best: 0.981 (Distill Any Depth)
    SOTA
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • Depth EstimationonNYU-Depth V2
    RMSE· uses extra data· 2024-01-19
    0.206
    best: 0.013 (Defocus/DepthNet (Normalized))
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • Depth EstimationonNYU-Depth V2
    absolute relative error· uses extra data· 2024-01-19
    0.056
    best: 0.026 (HybridDepth)
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • Depth EstimationonNYU-Depth V2
    log 10· uses extra data· 2024-01-19
    0.024
    best: 0.059 (SC-DepthV2)
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • Depth EstimationonETH3D
    absolute relative error· 2024-01-19
    0.0127
    best: 0.0121 (HDN)
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • Depth EstimationonKITTI Eigen split
    Delta < 1.25· uses extra data· 2024-01-19
    0.982
    best: 0.99 (SPIDepth)
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • Depth EstimationonKITTI Eigen split
    Delta < 1.25^2· uses extra data· 2024-01-19
    0.998
    best: 0.999 (SPIDepth)
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • Depth EstimationonKITTI Eigen split
    Delta < 1.25^3· uses extra data· 2024-01-19
    1
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • Depth EstimationonKITTI Eigen split
    RMSE· uses extra data· 2024-01-19
    1.896
    best: 1.394 (SPIDepth)
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • Depth EstimationonKITTI Eigen split
    RMSE log· uses extra data· 2024-01-19
    0.069
    best: 0.048 (SPIDepth)
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • Depth EstimationonKITTI Eigen split
    Sq Rel· uses extra data· 2024-01-19
    0.121
    best: 0.224 (SfM-Revisited)
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • Depth EstimationonKITTI Eigen split
    absolute relative error· uses extra data· 2024-01-19
    0.046
    best: 0.029 (SPIDepth)
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891

Methodology15 results

  • 3DonNYU-Depth V2
    Delta < 1.25· uses extra data· 2024-01-19
    0.984
    best: 0.989 (UniK3D (FT, metric))
    SOTA
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • 3DonNYU-Depth V2
    Delta < 1.25^2· uses extra data· 2024-01-19
    0.998
    best: 1 (HybridDepth)
    SOTA
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • 3DonNYU-Depth V2
    Delta < 1.25^3· uses extra data· 2024-01-19
    1
    SOTA
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • 3DonETH3D
    Delta < 1.25· 2024-01-19
    0.882
    best: 0.981 (Distill Any Depth)
    SOTA
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • 3DonNYU-Depth V2
    RMSE· uses extra data· 2024-01-19
    0.206
    best: 0.013 (Defocus/DepthNet (Normalized))
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • 3DonNYU-Depth V2
    absolute relative error· uses extra data· 2024-01-19
    0.056
    best: 0.026 (HybridDepth)
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • 3DonNYU-Depth V2
    log 10· uses extra data· 2024-01-19
    0.024
    best: 0.059 (SC-DepthV2)
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • 3DonETH3D
    absolute relative error· 2024-01-19
    0.0127
    best: 0.0121 (HDN)
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • 3DonKITTI Eigen split
    Delta < 1.25· uses extra data· 2024-01-19
    0.982
    best: 0.99 (SPIDepth)
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • 3DonKITTI Eigen split
    Delta < 1.25^2· uses extra data· 2024-01-19
    0.998
    best: 0.999 (SPIDepth)
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • 3DonKITTI Eigen split
    Delta < 1.25^3· uses extra data· 2024-01-19
    1
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • 3DonKITTI Eigen split
    RMSE· uses extra data· 2024-01-19
    1.896
    best: 1.394 (SPIDepth)
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • 3DonKITTI Eigen split
    RMSE log· uses extra data· 2024-01-19
    0.069
    best: 0.048 (SPIDepth)
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • 3DonKITTI Eigen split
    Sq Rel· uses extra data· 2024-01-19
    0.121
    best: 0.224 (SfM-Revisited)
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891
  • 3DonKITTI Eigen split
    absolute relative error· uses extra data· 2024-01-19
    0.046
    best: 0.029 (SPIDepth)
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891

Medical1 result

  • Semantic SegmentationonCityscapes val
    mIoU· 2024-01-19
    86.2
    best: 90.3 (EfficientPS (Cityscapes-fine))
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891

Audio1 result

  • 10-shot image generationonCityscapes val
    mIoU· 2024-01-19
    86.2
    best: 90.3 (EfficientPS (Cityscapes-fine))
    Depth Anything: Unleashing the Power of Large-Scale Unlabeled DataarXiv:2401.10891