--- 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 Hu1* †](https://wbhu.github.io), [Xiangjun Gao2*](https://scholar.google.com/citations?user=qgdesEcAAAAJ&hl=en), [Xiaoyu Li1* †](https://xiaoyu258.github.io), [Sijie Zhao1](https://scholar.google.com/citations?user=tZ3dS3MAAAAJ&hl=en), [Xiaodong Cun1](https://vinthony.github.io/academic),
[Yong Zhang1](https://yzhang2016.github.io), [Long Quan2](https://home.cse.ust.hk/~quan), [Ying Shan3, 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.