xingyang1/Distill-Any-Depth

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. Models with various sizes are available in this repo.

Installation

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:

@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}
}