📂 Art 👁 1.2k views 🕐 June 7, 2026

Depth Anything 3

Depth Anything 3 (DA3) is a model designed for individuals and teams.

Depth Anything 3 (DA3) is a model designed for individuals and teams working with 3D tools, robotics, and web/VR viewers who need to recover the visual space from any number of views. It is particularly useful for those dealing with single or multiple camera inputs without known camera poses. DA3 achieves this through a single plain transformer trained with a depth-ray representation, simplifying the process of geometry estimation. The model's capabilities include video reconstruction, SLAM for large-scale scenes, and feed-forward 3D Gaussians estimation, making it versatile for various applications. Professionals in fields requiring accurate 3D geometry, such as architects, engineers, and researchers, can greatly benefit from DA3 due to its ability to provide detailed and generalizable results, outperforming previous models in camera pose accuracy and geometric accuracy.

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Features
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Video Reconstruction
DA3 can recover the visual space from any number of views, including single and multiple views, and from difficult videos.
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SLAM for Large-Scale Scenes
DA3 improves SLAM performance by providing accurate visual geometry estimation, reducing drift in large-scale environments.
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Feed-Forward 3D Gaussians Estimation
By training a DPT head to predict 3DGS parameters, DA3 achieves strong and generalizable novel view synthesis capability.
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Spatial Perception from Multiple Cameras
DA3 estimates stable and fusible depth maps from several images of different viewpoints, enhancing environmental understanding for autonomous vehicles.
Verdict
Best forTeams doing Art work who need consistent output without a steep learning curve.
Skip ifYou only need this once or twice; the subscription cost won't pay off for occasional use.
✓DA3 provides superior geometry and 3DGS rendering from any visual inputs without requiring complex tasks or special architecture.
✓It achieves a level of detail and generalization on par with Depth Anything 2 (DA2) and surpasses prior SOTA VGGT in camera pose accuracy and geometric accuracy.
✓DA3 outperforms DA2 in monocular depth estimation, making it a valuable tool for applications where high accuracy is crucial.
✕The model's performance might be affected by the quality and diversity of the training datasets, as it is trained exclusively on public academic datasets.
✕DA3 may not be suitable for applications requiring real-time processing without additional optimization, as its performance in real-time scenarios is not explicitly stated.
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Frequently Asked Questions
Depth Anything 3 (DA3) is a model that predicts spatially consistent geometry from any visual inputs, with or without known camera poses, using a single plain transformer trained with a depth-ray representation.
DA3 surpasses prior SOTA VGGT by an average of 35.7% in camera pose accuracy and 23.6% in geometric accuracy and outperforms DA2 in monocular depth estimation.
Primary use cases include 3D modeling and rendering, improving SLAM and environmental perception in robotics, and researching new methods of 3D geometry estimation and visual space recovery.
While DA3 can be optimized for real-time applications, its base performance in real-time scenarios is not explicitly stated, suggesting potential limitations without further optimization.
DA3 can estimate stable and fusible depth maps from several images of different viewpoints, even without overlap, enhancing environmental understanding for applications like autonomous vehicles.
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Depth Anything 3
Depth Anything 3
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