Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper
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2401.10891
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Published
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62
Depth Anything Release
Depth Anything models, foundation models for monocular depth estimation, trained on 1.5 million labeled images and 62 million unlabeled images
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534
Depth Anything
🌖Generate depth map from image
LiheYoung/depth_anything_vitl14
Depth Estimation • Updated • 16.3k • 42Note This model gives the highest quality, but is also the most heavy in terms of computation.
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LiheYoung/depth_anything_vitb14
Depth Estimation • Updated • 6.2k • 3
LiheYoung/depth_anything_vits14
Depth Estimation • Updated • 4.57k • 6Note The most efficient model, with promising performance
LiheYoung/depth-anything-large-hf
Depth Estimation • 0.3B • Updated • 418k • 54Note This model gives the highest quality, but is also the most heavy in terms of computation.
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LiheYoung/depth-anything-base-hf
Depth Estimation • 0.1B • Updated • 29.9k • 12
LiheYoung/depth-anything-small-hf
Depth Estimation • 0.0B • Updated • 47.4k • 31Note The most efficient model, with promising performance