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Models/PrimeDepth + Depth Anything

PrimeDepth + Depth Anything

Reported on 8 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 Vision4 results

  • Depth EstimationonNYU-Depth V2
    Delta < 1.25· 2024-09-13
    0.977
    best: 0.989 (UniK3D (FT, metric))
    PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion PreimagearXiv:2409.09144
  • Depth EstimationonNYU-Depth V2
    absolute relative error· 2024-09-13
    0.046
    best: 0.026 (HybridDepth)
    PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion PreimagearXiv:2409.09144
  • Depth EstimationonKITTI Eigen split
    Delta < 1.25· 2024-09-13
    0.953
    best: 0.99 (SPIDepth)
    PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion PreimagearXiv:2409.09144
  • Depth EstimationonKITTI Eigen split
    absolute relative error· 2024-09-13
    0.073
    best: 0.029 (SPIDepth)
    PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion PreimagearXiv:2409.09144

Methodology4 results

  • 3DonNYU-Depth V2
    Delta < 1.25· 2024-09-13
    0.977
    best: 0.989 (UniK3D (FT, metric))
    PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion PreimagearXiv:2409.09144
  • 3DonNYU-Depth V2
    absolute relative error· 2024-09-13
    0.046
    best: 0.026 (HybridDepth)
    PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion PreimagearXiv:2409.09144
  • 3DonKITTI Eigen split
    Delta < 1.25· 2024-09-13
    0.953
    best: 0.99 (SPIDepth)
    PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion PreimagearXiv:2409.09144
  • 3DonKITTI Eigen split
    absolute relative error· 2024-09-13
    0.073
    best: 0.029 (SPIDepth)
    PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion PreimagearXiv:2409.09144