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Lotus Depth D V2 0 Disparity
Lotus is a vision foundation model based on diffusion models, focusing on high-quality dense prediction tasks, particularly depth estimation. Compared to the previous version, this model adopts disparity space (inverse depth) training, achieving superior performance and more stable video depth estimation.
Downloads 592
Release Time : 11/13/2024
Model Overview
Lotus is a vision foundation model based on diffusion models, primarily used for depth estimation tasks. It employs disparity space (inverse depth) training, offering improved performance and more stable video depth estimation capabilities compared to the previous version.
Model Features
Disparity Space Training
Adopts disparity space (inverse depth) training, achieving superior performance and more stable video depth estimation compared to the previous version.
High-Quality Dense Prediction
Focuses on high-quality dense prediction tasks, capable of generating accurate depth estimation results.
Video Depth Estimation
Specially optimized for stable video depth estimation, suitable for continuous frame depth prediction.
Model Capabilities
Depth Estimation
Video Depth Estimation
Dense Prediction
Use Cases
Computer Vision
3D Scene Reconstruction
Utilizes depth estimation results for 3D scene reconstruction, applicable to virtual reality, augmented reality, and other applications.
High-quality depth maps can be used to generate precise 3D models.
Autonomous Driving
Provides accurate depth information for autonomous driving systems, aiding in environmental perception.
Stable video depth estimation enhances the safety of autonomous driving systems.
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