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Distill Any Depth Large Hf

Developed by xingyang1
Distill-Any-Depth is a new SOTA monocular depth estimation model trained using knowledge distillation algorithms.
Downloads 2,322
Release Time : 3/9/2025

Model Overview

This model is a knowledge distillation-based monocular depth estimation model capable of predicting depth information from a single image, suitable for computer vision tasks.

Model Features

Knowledge distillation training
Trained using knowledge distillation algorithms, capable of extracting knowledge from large models and applying it to depth estimation tasks.
Monocular depth estimation
Only requires a single image for depth estimation, eliminating the need for multiple viewpoints or depth sensors.
Zero-shot inference
Supports zero-shot depth estimation, applicable to new scenes without task-specific fine-tuning.

Model Capabilities

Monocular depth estimation
Image depth prediction
Zero-shot inference

Use Cases

Computer vision
Scene understanding
Used for scene depth understanding in autonomous driving or robot navigation
Accurately predicts the relative depth of objects in the scene
3D reconstruction
Serves as a preprocessing step for 3D scene reconstruction
Provides single-view depth information to assist 3D modeling
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