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Lotus Depth G V2 0 Disparity
Lotus is a vision foundation model based on diffusion models, focusing on high-quality dense prediction tasks such as depth estimation. Compared to the previous version, this model is trained in disparity space (inverse depth), achieving superior performance and more stable video depth estimation.
Downloads 182
Release Time : 11/13/2024
Model Overview
Lotus is an official model series dedicated to depth estimation tasks. Through a diffusion model architecture trained in disparity space, it delivers high-quality dense prediction results.
Model Features
Disparity Space Training
Training in inverse depth space achieves superior performance and more stable video depth estimation results compared to traditional depth space training.
High-Quality Dense Prediction
Capable of generating high-quality dense prediction results suitable for various complex scenarios.
Video Depth Estimation
Specially optimized for stable video depth estimation, ideal for continuous frame processing.
Model Capabilities
Single Image Depth Estimation
Video Depth Estimation
Dense Prediction
Use Cases
Computer Vision
3D Scene Reconstruction
Estimating depth information from a single image or video sequence for 3D scene reconstruction.
High-quality depth maps usable for precise 3D modeling
Augmented Reality
Providing real-time depth information for AR applications to enhance the realism of virtual objects.
Stable video depth estimation, improving AR experience quality
Autonomous Driving
Environmental Perception
Assisting autonomous driving systems in understanding the 3D structure of surrounding environments.
Accurate depth estimation, enhancing environmental perception capabilities
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