---
license: apache-2.0
pipeline_tag: depth-estimation
arxiv: <2502.19204>
tags:
- distill-any-depth
- vision
---

# Distill Any Depth

## Introduction
We present Distill-Any-Depth, a new SOTA monocular depth estimation model trained with our proposed knowledge distillation algorithms. It was introduced in the paper [Distill Any Depth: Distillation Creates a Stronger Monocular Depth Estimator](http://arxiv.org/abs/2502.19204). Models with various sizes are available in this repo.

## Installation
```bash
git clone https://huggingface.co/xingyang1/Distill-Any-Depth
pip install -r requirements.txt
```

## BibTeX entry and citation info

If you find this project useful, please consider citing:

```bibtex
@article{he2025distill,
  title   = {Distill Any Depth: Distillation Creates a Stronger Monocular Depth Estimator},
  author  = {Xiankang He and Dongyan Guo and Hongji Li and Ruibo Li and Ying Cui and Chi Zhang},
  year    = {2025},
  journal = {arXiv preprint arXiv: 2502.19204}
}
```