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Lotus is a diffusion-based vision foundation model focused on high-quality dense prediction tasks.
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Release Time : 10/5/2024
Model Overview
Lotus is a diffusion-based vision foundation model primarily designed for high-quality dense prediction tasks, such as depth estimation. It achieves high-quality prediction results through diffusion models.
Model Features
Diffusion-Based
Utilizes diffusion models to achieve high-quality dense prediction tasks.
High-Quality Prediction
Delivers high-quality prediction results in tasks like depth estimation.
Dense Prediction
Focuses on dense prediction tasks, capable of handling complex visual scenes.
Model Capabilities
Depth Estimation
Dense Prediction
High-Quality Visual Analysis
Use Cases
Computer Vision
Depth Estimation
Used to estimate depth information from a single image.
High-quality depth prediction results
3D Reconstruction
Can be used as a preprocessing step for 3D scene reconstruction.
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