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LDepth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Popularity
Repository stars8,24834,144Highest
7-day net stars——
Fork6213,010Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2024-07-172024-02-25
Maintenance notesNot verifiedUnknown
Repository created2024-01-222023-02-01
License & use
LicenseApache-2.0 · PermissiveApache-2.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeImage generationImage generation
TypeModels & adaptersModels & adapters
SubcategoryLanguage modelsLoRA & adapters
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check hosted-service, model and infrastructure costs for the option you choose.
Pricing source——
First collected2026-11-032026-11-02
MetricRepository stars, not unique users or individual-skill installsRepository Stars, not unique users
LanguagePythonPython
About this project[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth EstimationProvide models and code for adding structural conditioning to diffusion models.
Measured at2026-11-03 08:29 UTC2026-11-02 18:45 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.