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NK-depth-Jittor
ghost233lism/NK-depth-Jittor
NK-depth-Jittor is a depth estimation model from ghost233lism. Use it for the depth estimation task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-nc-4.0.
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 provid…
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Updated Feb 25, 2026
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At a glance
- Task
- Depth Estimation
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Feb 21, 2026
- Updated
- Feb 25, 2026
- SHA
- 17a0724e
Base models
Model card
From the Hugging Face model README
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*, Modi Jin*, Bowen Yin, Qibin Hou<sup>†</sup><br/> Arxiv 2025. Paper Link | Homepage | PyTorch Version
Depth Anything V2<br/> Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao<sup>†</sup><br/> NeurIPS 2024. Paper Link | Homepage | PyTorch Version without training
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data<br/> Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao<sup>†</sup> <br/> CVPR 2024. Paper Link | Homepage | PyTorch Version without training
- Task
- Depth Estimation
- License
- cc-by-nc-4.0
- Languages
- en
- Created
- Feb 21, 2026
- Updated
- Feb 25, 2026