DepthAnything

    DepthAnything/Depth-Anything-V2

    [NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

    9.1K stars
    940 forks
    9.1K GitHub watchers
    Updated Nov 2, 2026
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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    The project lists 4 contributors on GitHub.

    Gained 8% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Provides a foundation model for monocular depth estimation from single images with improved detail and robustness.
    • Delivers faster inference, fewer parameters, and higher accuracy compared to previous versions and SD-based models.
    • Use for generating high-quality depth maps from single images in computer vision research or applications.
    • Use for real-time depth estimation in video processing with enhanced temporal consistency using larger models.
    • Use for integrating depth estimation into mobile or edge devices via Apple Core ML or Transformers frameworks.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present

    Watch-outs

    • No commits in the last six months (last push Mar 2026).
    • No GitHub releases; pin a commit or tag instead of a release.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    †project lead *corresponding author

    This work presents Depth Anything V2. It significantly outperforms V1 in fine-grained details and robustness. Compared with SD-based models, it enjoys faster inference speed, fewer parameters, and higher depth accuracy.

    Excerpt from the DepthAnything/Depth-Anything-V2 README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    940+45

    Open issues

    245+4

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

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