Depth Anything 3 - 3D Visual Reconstruction Models for ByteHop Seed Open Source

What is Depth Anything 3?

Depth Anything 3 (DA3) is a 3D visual reconstruction model developed and open-sourced by the Byte Jump Seed team. It realizes spatial geometric reconstruction under arbitrary viewpoints through a single transformer architecture, and only needs to predict the depth map and ray map to restore the 3D scene, which improves the accuracy by 35.7% compared with the traditional method, and the operational efficiency reaches 126 FPS. It supports flexible processing from single image to multi-view video without multi-tasking module, and can be adapted to automatic driving, SLAM and other scenarios. The model outperforms existing methods in visual geometry benchmarks, and the related code and demo have been made public.

Features of Depth Anything 3

• Minimalist Architecture Design: Efficient spatial geometry prediction using a single common converter (e.g. DINOv2) as a backbone network without complex architectural modifications.
• Depth-Ray Representation: The complex camera pose estimation problem is simplified to a pixel-level prediction task by depth-light representation, which avoids complex multi-task learning and improves the generalization and accuracy of the model.
• Excellent multitasking performance: It performs well on multiple tasks such as monocular depth estimation, multi-view depth estimation, and camera pose estimation, and comprehensively outperforms the best previous models such as VGGT and DA2.
• Strong generalization capabilities: All models are trained using only public academic datasets and can be adapted to a wide range of scenarios, including indoor, outdoor, object-centered, and field scenarios, with good generalization performance.
• Flexible model series: A variety of model families are available, including the main family (suitable for a wide range of visual geometry tasks), the metric family (focusing on metric depth estimation), and the monocular family (focusing on high-quality monocular depth estimation), to meet the needs of different application scenarios.
• User-friendly code base: Supports an interactive Web UI and a flexible command line interface (CLI), provides multiple output formats (e.g.glb,npz, depth images, etc.) to facilitate research and practical application development.
• High quality 3D reconstruction and rendering: The ability to generate high-quality 3D reconstructions and visual renderings from arbitrary viewpoints for virtual reality, augmented reality, and other domains provides powerful support for visual geometry tasks.

Core Benefits of Depth Anything 3

• minimalist architecture: The use of a single common converter (e.g., DINOv2) as the backbone network enables efficient and clean modeling without complex architectural modifications.
• Depth-Ray Representation: The introduction of depth-light representation transforms the complex camera pose estimation problem into a pixel-level prediction task, avoiding complex geometric transformations and multi-task learning.
• superior performance: On multiple tasks such as monocular depth estimation, multi-view depth estimation, and camera pose estimation, DA3 comprehensively outperforms the previous best models, such as VGGT and DA2, with significantly improved geometric and pose accuracy.
• Strong generalization ability: Trained using only public academic datasets, DA3 is able to adapt to a wide range of scenarios, including indoor, outdoor, object-centered, and field scenarios, demonstrating strong generalization capabilities.
• Multitasking versatility: A single model can perform multiple visual geometry tasks, such as monocular depth estimation, multi-view depth estimation, camera pose estimation, and 3D Gaussian estimation, without the need to train separately for each task.
• High quality 3D reconstruction: Supports the generation of high-quality 3D reconstruction and visual rendering from any viewpoint for virtual reality, augmented reality, and other applications, providing high-fidelity visual effects.
• user-friendly: Provides an interactive Web UI and a flexible command line interface (CLI), supports multiple output formats, and facilitates research and practical application development.
• scalability: The code base is designed to be flexible and support future research and integration of new features, making it easy for users to customize and expand according to their needs.

What is Depth Anything 3's official website?

• Project website:: https://depth-anything-3.github.io/
• GitHub repository:: https://github.com/ByteDance-Seed/depth-anything-3
• arXiv Technical Paper:: https://arxiv.org/pdf/2511.10647
• Online Experience Demo:: https://huggingface.co/spaces/depth-anything/depth-anything-3

Who Depth Anything 3 is for

• Computer vision researchers: The excellent performance of DA3 on several visual geometry tasks makes it a powerful tool for researchers exploring areas such as depth estimation, camera pose estimation, and 3D reconstruction.
• Artificial Intelligence Developers: Its flexible architecture and powerful features enable AI developers to quickly integrate DA3 into a variety of projects for efficient visual geometry processing.
• Virtual Reality (VR) and Augmented Reality (AR) Developers: DA3 generates high-quality 3D reconstructions and visual renderings from any viewpoint, perfect for creating immersive VR and AR experiences.
• 3D Modeling and Animation Professionals: The high-quality 3D reconstruction function provided by DA3 can help 3D modelers and animators to quickly generate high-precision 3D models and improve work efficiency.
• Cultural heritage conservationists: DA3's 3D reconstruction capabilities can be used for the digital preservation of cultural heritage, helping to document and reconstruct historical sites and artifacts.
• Architecture and Engineering Professionals: DA3 can handle 3D reconstruction of a wide range of scenes and is suitable for architectural design, engineering visualization and construction monitoring.