---
base_model:
- depth-anything/Depth-Anything-V2-Small
language:
- en
license: cc-by-nc-4.0
pipeline_tag: depth-estimation
tags:
- depth
- relative depth
- depth anything
---


This is the Jittor implementation of **DepthAnything** series for monocular depth estimation including **DepthAnything**, **DepthAnything V2** and **DepthAnything-AC**. Developed based on the Jittor deep learning framework, it provides efficient solutions for training and inference. 

This repository contains the official Jittor implementation of the following papers:


> Depth Anything At Any Condtion<br/>
> [Boyuan Sun*](https://bbbbchan.github.io),
> [Modi Jin*](https://ghost233lism.github.io/),
> [Bowen Yin](https://yinbow.github.io/),
> [Qibin Hou<sup>&dagger;</sup>](https://houqb.github.io/)<br/>
> Arxiv 2025. 
> [Paper Link](https://arxiv.org/abs/2507.01634) |
>[Homepage](https://ghost233lism.github.io/depthanything-AC-page/)  |
> [PyTorch Version](https://github.com/HVision-NKU/DepthAnythingAC)


> Depth Anything V2<br/>
> [Lihe Yang](https://liheyoung.github.io/),
> [Bingyi Kang](https://scholar.google.com/citations?user=NmHgX-wAAAAJ),
> [Zilong Huang](https://speedinghzl.github.io/),
> [Zhen Zhao](https://scholar.google.com/citations?user=fF8OFV8AAAAJ&hl=en),
> [Xiaogang Xu](https://depth-anything-v2.github.io/),
> [Jiashi Feng](https://sites.google.com/site/jshfeng/),
> [Hengshuang Zhao<sup>&dagger;</sup>](https://hszhao.github.io/)<br/>
> NeurIPS 2024. 
> [Paper Link](https://arxiv.org/abs/2406.09414) |
>[Homepage](https://depth-anything-v2.github.io/)  |
> [PyTorch Version without training](https://github.com/DepthAnything/Depth-Anything-V2)

> Depth Anything:
Unleashing the Power of Large-Scale Unlabeled Data<br/>
> [Lihe Yang](https://liheyoung.github.io/),
> [Bingyi Kang](https://scholar.google.com/citations?user=NmHgX-wAAAAJ),
> [Zilong Huang](https://speedinghzl.github.io/),
> [Xiaogang Xu](https://xuxiaogang.com/),
> [Jiashi Feng](https://sites.google.com/site/jshfeng/),
> [Hengshuang Zhao<sup>&dagger;</sup>](https://hszhao.github.io/) <br/>
> CVPR 2024. 
>[Paper Link](https://arxiv.org/pdf/2401.10891) |
>[Homepage](https://depth-anything.github.io/) |
>[PyTorch Version without training](https://github.com/LiheYoung/Depth-Anything)