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Dpt Swinv2 Large 384

Developed by Intel
DPT model based on SwinV2 backbone network for monocular depth estimation, trained on 1.4 million images
Downloads 84
Release Time : 12/10/2023

Model Overview

This model is the DPT (Dense Prediction Transformer) model from MiDaS version 3.1, specifically designed for estimating depth information from a single image. It adopts the SwinV2 architecture as its backbone network, suitable for applications such as generative AI, 3D reconstruction, and autonomous driving.

Model Features

Based on SwinV2 backbone network
Utilizes a hierarchical transformer architecture with shifted window computation for improved efficiency, ideal for visual tasks
Large-scale training data
Trained on 1.4 million images covering diverse scenarios
Zero-shot transfer capability
Supports zero-shot depth estimation without the need for fine-tuning for specific scenarios

Model Capabilities

Monocular depth estimation
Zero-shot transfer
Image depth analysis

Use Cases

Computer vision
3D scene reconstruction
Generates depth information from a single image for 3D scene modeling
Produces detailed depth maps
Autonomous driving
Provides environmental depth perception for autonomous driving systems
Assists vehicles in perceiving their surroundings
Augmented reality
Delivers scene depth information for AR applications
Enables more realistic virtual object overlays
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