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Rollingdepth V1 0

Developed by prs-eth
RollingDepth is a video depth estimation method that does not require video models, capable of achieving monocular depth estimation and video depth estimation.
Downloads 581
Release Time : 11/22/2024

Model Overview

RollingDepth is an innovative video depth estimation method that does not require specialized video models. Instead, it performs depth estimation in natural scenes through zero-shot learning. This method is particularly suitable for monocular depth estimation and video depth estimation tasks.

Model Features

No Video Model Required
Capable of performing video depth estimation without specialized video models
Zero-shot Learning
Supports zero-shot learning, applicable to various natural scenes
Multi-scenario Applicability
Suitable for monocular depth estimation and video depth estimation tasks

Model Capabilities

Monocular depth estimation
Video depth estimation
Natural scene depth analysis

Use Cases

Computer Vision
Video Depth Estimation
Performs depth estimation on video sequences without specialized video models
Achieves accurate depth estimation results
Monocular Depth Estimation
Estimates depth information from a single image
Applicable to various natural scenes
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