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Diffusion-Models-Papers-Survey-Taxonomy

Diffusion model papers, survey, and taxonomy

Depth-Anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

Popularity
Repository stars3,3688,248Highest
7-day net stars——
Fork255621Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2025-09-272024-07-17
Maintenance notesNot verifiedNot verified
Repository created2022-09-122024-01-22
License & use
LicenseLicense not declaredApache-2.0 · Permissive
License source—License source
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeImage generationImage generation
TypeModels & adaptersModels & adapters
SubcategoryVideo modelsLanguage models
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
Language—Python
About this projectDiffusion model papers, survey, and taxonomy[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Measured at2026-11-03 09:41 UTC2026-11-03 08:29 UTC

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