Lotus-depth-g-v1-0
| Property | Value |
|---|---|
| License | Apache 2.0 |
| Paper | arXiv:2409.18124 |
| Downloads | 15,075 |
| Pipeline Type | Depth Estimation |
What is lotus-depth-g-v1-0?
Lotus-depth-g-v1-0 is part of the innovative Lotus visual foundation model family, specifically designed for high-quality dense prediction tasks with a focus on depth estimation. Developed by a team of researchers led by Jing He and Haodong Li, this model represents a significant advancement in visual understanding and depth perception capabilities.
Implementation Details
The model is implemented using the Diffusers library and utilizes Safetensors for efficient model weight storage. It employs the LotusGPipeline architecture, which is specifically optimized for depth estimation tasks. The implementation focuses on providing accurate depth predictions while maintaining computational efficiency.
- Built on the Diffusers framework for robust depth estimation
- Utilizes Safetensors for efficient model storage and loading
- Implements the specialized LotusGPipeline architecture
Core Capabilities
- High-quality dense prediction for depth estimation
- Efficient processing of visual inputs for depth mapping
- Integration capabilities with existing diffusion-based workflows
- Robust performance across various image types and scenarios
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its integration with the Lotus visual foundation model family, offering state-of-the-art depth estimation capabilities through a diffusion-based approach. Its implementation using the LotusGPipeline architecture ensures both accuracy and efficiency in dense prediction tasks.
Q: What are the recommended use cases?
The model is particularly well-suited for applications requiring accurate depth estimation, including 3D reconstruction, augmented reality, robotics, and computer vision tasks. It's designed to handle a wide range of input images and provide reliable depth predictions.
