Marigold-depth-lcm-v1-0
| Property | Value |
|---|---|
| License | Apache-2.0 |
| Paper | View Paper |
| Author | prs-eth |
| Downloads | 22,647 |
What is marigold-depth-lcm-v1-0?
Marigold-depth-lcm-v1-0 is an innovative diffusion-based model designed specifically for monocular depth estimation. It represents a significant advancement in computer vision by repurposing Stable Diffusion's powerful image generation capabilities for depth prediction tasks. This LCM (Latent Consistency Model) variant offers efficient depth estimation from single images with zero-shot transfer capabilities.
Implementation Details
The model is built upon the foundation of Stable Diffusion and has been fine-tuned with synthetic data to perform monocular depth estimation. It implements a specialized pipeline that can process single images to generate accurate depth maps without requiring multiple viewpoints.
- Built on Stable Diffusion architecture with LCM optimization
- Zero-shot transfer capabilities for unseen data
- Fine-tuned using synthetic training data
- Implements MarigoldPipeline for depth estimation
Core Capabilities
- Single-image depth estimation without additional viewpoints
- Zero-shot transfer to new, unseen environments
- State-of-the-art performance in monocular depth estimation
- In-the-wild depth prediction capabilities
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its innovative approach of repurposing diffusion-based image generators for depth estimation, offering zero-shot transfer capabilities and state-of-the-art results without requiring multiple views or extensive real-world training data.
Q: What are the recommended use cases?
The model is ideal for applications requiring depth estimation from single images, such as robotics, augmented reality, scene understanding, and computer vision tasks where multiple viewpoints are not available.
