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Stable Diffusion E2e Ft Depth
S
Stable Diffusion E2e Ft Depth
Developed by GonzaloMG
This is a monocular depth estimation model based on the Apache-2.0 license, suitable for zero-shot depth estimation tasks in wild scenes.
Downloads 28
Release Time : 9/13/2024
Model Overview
The model is primarily used to estimate depth information from a single image, suitable for wild scenes, supports zero-shot learning, and can be directly applied without additional training.
Model Features
Zero-shot Learning
The model supports zero-shot learning and can be directly applied to new scenes without additional training.
Wild Scene Adaptation
The model is specifically optimized for wild scenes and can handle complex natural environments and lighting conditions.
Single-step Processing
The model employs single-step processing, enabling fast and efficient completion of depth estimation tasks.
Model Capabilities
Monocular depth estimation
Wild scene processing
Zero-shot learning
Use Cases
Autonomous Driving
Environmental Perception
Used for environmental perception in autonomous vehicles to estimate the distance of surrounding objects.
Robot Navigation
Path Planning
Assists robots in path planning and obstacle avoidance in complex environments.
Augmented Reality
Virtual Object Placement
In augmented reality applications, accurately estimates scene depth to place virtual objects.
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