ZoeDepth, an image-to-image model, offers a variety of exciting use cases for technical applications. One potential use case is in autonomous vehicle systems, where accurate depth information is crucial for safe navigation. ZoeDepth could be employed to generate depth maps from real-time camera inputs, enabling vehicles to perceive their surroundings in three dimensions and make informed decisions. Another use case is in augmented reality, where depth information can enhance the realism of virtual objects. By utilizing ZoeDepth, developers could improve the integration of virtual elements into the real world, creating more immersive and convincing experiences. Additionally, this model could find applications in robotics, where objects' depth perception is vital for obstacle avoidance and object manipulation. By leveraging ZoeDepth, robots could accurately gauge the distances to objects in their environment, enabling them to navigate and interact effectively. Furthermore, ZoeDepth may be valuable in computer vision and image processing tasks, such as object recognition and scene understanding. By utilizing the detailed depth maps generated by ZoeDepth, algorithms could have richer spatial information, allowing for more precise analysis and interpretation of images. In summary, ZoeDepth opens up possibilities for improved depth perception in autonomous vehicles, enhanced augmented reality experiences, more capable robots, and advanced computer vision applications. Potential products incorporating this model could include autonomous vehicles with enhanced perception systems, augmented reality headsets with improved object integration, advanced robot platforms with better spatial awareness, and computer vision algorithms with refined scene understanding capabilities.
- Cost per run
- Avg run time
- Nvidia T4 GPU
|Compositional Vsual Generation With Composable Diffusion Models Pytorch||$0.01155||774|
You can use this area to play around with demo applications that incorporate the Zoedepth model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.
Currently, there are no demos available for this model.
Summary of this model and related resources.
ZoeDepth: Combining relative and metric depth
|Model Link||View on Replicate|
|API Spec||View on Replicate|
|Github Link||View on Github|
|Paper Link||View on Arxiv|
How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?
How much does it cost to run this model? How long, on average, does it take to complete a run?
|Cost per Run||$0.00275|
|Prediction Hardware||Nvidia T4 GPU|
|Average Completion Time||5 seconds|