Depth Any Video is a model designed to address the challenges of video depth estimation, which has traditionally been limited by the scarcity of consistent and scalable ground truth data. The model introduces two key innovations: a scalable synthetic data pipeline and the integration of generative video diffusion models. The synthetic data pipeline captures real-time video depth data from diverse virtual environments, producing 40,000 video clips with precise depth annotations. This approach allows for the generation of a large dataset that can be used to train the model effectively. The model also leverages generative video diffusion models, incorporating advanced techniques such as rotary position encoding and flow matching to enhance flexibility and efficiency. Unlike previous models that are limited to fixed-length video sequences, Depth Any Video employs a mixed-duration training strategy, enabling it to handle videos of varying lengths and perform robustly across different frame rates, even on single frames. At inference, the model uses a depth interpolation method to infer high-resolution video depth across sequences of up to 150 frames. This approach outperforms previous generative depth models in terms of spatial accuracy and temporal consistency. The code and model weights are open-sourced, allowing for further research and development in the field.
Generative video diffusion models, rotary position encoding, flow matching
Mixed-duration training strategy
40,000 video clips with depth annotations
Spatial accuracy, temporal consistency
Cloud-based, on-premises
Yes
Yes
Scalable synthetic data pipeline, mixed-duration training, depth interpolation
Yes
GPU for training and inference
Linux, Windows, macOS
Compatible with existing video processing systems
Data privacy and security measures
GDPR, CCPA
None
Yes
Active community on GitHub and forums
Research team from leading AI institutions
Large-scale dataset with 40,000 video clips
Optimized for real-time inference
Optimized for GPU usage
Model interpretability tools
Bias mitigation, fairness in data representation
Limited by the quality of synthetic data
Entertainment, gaming, automotive
Real-time video depth estimation, AR/VR applications
Tech companies, research institutions
API integration, SDKs
Highly scalable with cloud infrastructure
Community support, professional services
Service Level Agreement available for enterprise customers
Command-line interface, web-based dashboard
Yes
Available in multiple languages
Subscription-based, pay-per-use
Yes
Partnerships with cloud providers and tech companies
Pending patents on key innovations
Compliant with industry regulations
1.0
SaaS
Yes
RESTful API with comprehensive documentation
B2B, B2C
0.00
USD
Commercial
15/01/2024
01/02/2024
+1-800-DEPTH-AV
Integration with popular video editing software
Yes