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Dpt Dinov2 Small Nyu

Developed by facebook
DPT model using DINOv2 as backbone for depth estimation tasks.
Downloads 23
Release Time : 10/31/2023

Model Overview

This model combines DINOv2's visual feature extraction capability with DPT's dense prediction architecture, specifically designed for depth estimation from single images.

Model Features

DINOv2 Backbone
Utilizes robust visual features obtained through unsupervised learning as foundation
Dense Prediction Architecture
Capable of generating high-resolution depth map predictions
Efficient Inference
Small version suitable for practical application deployment

Model Capabilities

Single-image depth estimation
High-resolution depth map generation

Use Cases

Computer Vision
3D Scene Reconstruction
Estimating scene depth information from single RGB images
Can be used to construct 3D scene models
Augmented Reality
Providing scene depth information for AR applications
Enhances interaction between virtual objects and real scenes
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