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- Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
This work presents Depth Anything, a highly practical solution for robust monocular depth estimation by training on a combination of 1 5M labeled images and 62M+ unlabeled images Try our latest Depth Anything V2 models!
- Depth Anything
This work presents Depth Anything, a highly practical solution for robust monocular depth estimation Without pursuing novel technical modules, we aim to build a simple yet powerful foundation model dealing with any images under any circumstances
- Depth Anything！最强开源单目深度估计SOTA！ - 知乎
读者理解： 本文提出的Depth Anything模型在单目深度估计方面采用了创新的方法。 特别是，强调利用廉价而多样的未标记图像，设计了有效的策略，包括设定更具挑战性的优化目标和保留语义先验。
- Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
This work presents Depth Anything, a highly practical solution for robust monocular depth estimation Without pursuing novel technical modules, we aim to build a simple yet powerful foundation model dealing with any images under any circumstances
- depth-anything (Depth Aything) - Hugging Face
This is the organization of Depth Anything, which refers to a series of foundation models built for depth estimation Currently, we have two collections, including Depth-Anything-V1 and Depth-Anything-V2
- Depth Anything V2
This work presents Depth Anything V2 Without pursuing fancy techniques, we aim to reveal crucial findings to pave the way towards building a powerful monocular depth estimation model
- Depth Anything V2 - Hugging Face 文档
Depth Anything 模型，顶部带有一个深度估计头部（由 3 个卷积层组成），例如用于 KITTI、NYUv2。 此模型继承自 PreTrainedModel。 查看其父类文档，了解库为所有模型实现的通用方法（例如下载或保存、调整输入嵌入大小、修剪头等）。
- ByteDance-Seed Depth-Anything-3 - GitHub
A community-curated list of Depth Anything 3 integrations across 3D tools, creative pipelines, robotics, and web VR viewers, including but not limited to these
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