---
license: other
license_name: license
license_link: LICENSE
library_name: DepthCrafter
arxiv: 2409.02095
tags:
- vision
pipeline_tag: depth-estimation
widget:
- inference: false
---
## ___***DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos***___
_**[Wenbo Hu
1* †](https://wbhu.github.io),
[Xiangjun Gao
2*](https://scholar.google.com/citations?user=qgdesEcAAAAJ&hl=en),
[Xiaoyu Li
1* †](https://xiaoyu258.github.io),
[Sijie Zhao
1](https://scholar.google.com/citations?user=tZ3dS3MAAAAJ&hl=en),
[Xiaodong Cun
1](https://vinthony.github.io/academic),
[Yong Zhang
1](https://yzhang2016.github.io),
[Long Quan
2](https://home.cse.ust.hk/~quan),
[Ying Shan
3, 1](https://scholar.google.com/citations?user=4oXBp9UAAAAJ&hl=en)**_
1Tencent AI Lab
2The Hong Kong University of Science and Technology
3ARC Lab, Tencent PCG
arXiv preprint, 2024
## 🔆 Introduction
🤗 DepthCrafter can generate temporally consistent long depth sequences with fine-grained details for open-world videos,
without requiring additional information such as camera poses or optical flow.
## 🎥 Visualization
We provide some demos of unprojected point cloud sequences, with reference RGB and estimated depth videos.
Please refer to our [project page](https://depthcrafter.github.io) for more details.