ChronoDepth v1
This model represents the official checkpoint of the paper titled "Learning Temporally Consistent Video Depth from Video Diffusion Priors".
Modellquelle
- Art
- UNet
- Dateigröße
- 2,84 GB
- Basismodell
- stabilityai/stable-video-diffusion-img2vid-xt
- Version
- vFP16
- Aktualisiert
- 1. Nov. 2026
- Downloads
- 78
- Quelle
- Hugging Face
Quellenbeschreibung
ChronoDepth: Learning Temporally Consistent Video Depth from Video Diffusion Priors
This model represents the official checkpoint of the paper titled "Learning Temporally Consistent Video Depth from Video Diffusion Priors".
Jiahao Shao*, Yuanbo Yang*, Hongyu Zhou, Youmin Zhang, Yujun Shen, Vitor Guizilini, Yue Wang, Matteo Poggi, Yiyi Liao†
🎓 Citation
Please cite our paper if you find this repository useful:
@misc{shao2024learningtemporallyconsistentvideo,
title={Learning Temporally Consistent Video Depth from Video Diffusion Priors},
author={Jiahao Shao and Yuanbo Yang and Hongyu Zhou and Youmin Zhang and Yujun Shen and Vitor Guizilini and Yue Wang and Matteo Poggi and Yiyi Liao},
year={2024},
eprint={2406.01493},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2406.01493},
}
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1 Quelle
Quellen
1 QuelleVerifiziert 1. Nov.
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Modellartefakte
1 Artefakt
Modellartefakte
1 Artefaktdiffusion_pytorch_model.safetensors
safetensors · FP16 (unverified) · 2,84 GB · SHA-256 9b5db40028bf…b469 · Hugging Face
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3 Auszüge--- license: mit library_name: diffusers pipeline_tag: depth-estimation tags: - video depth estimation base_model: - stabilityai/stable-video-diffusion-img2vid-xt --- # ChronoDepth: Learning Temporally Consistent Video Depth from Video Diffusion Priors This model represents the official checkpoint of the paper titled "Learning Temporally Consistent Video Depth from Video Diffusion Priors". [](https://xdimlab.github.io/ChronoDepth/) [](https://arxiv.org/abs/2406.01493)[](https://github.com/jhaoshao/ChronoDepth) [Jiahao Shao*](https://jiahao-shao1.github.io/), Yuanbo Yang*, Hongyu Zhou, [Youmin Zhang](https://youmi-zym.github.io/), [Yujun Shen](https://shenyujun.github.io/), [Vitor Guizilini](https://vitorguizilini.github.io/), [Yue Wang](https://yuewang.xyz/), [Matteo Poggi](https://mattpoggi.github.io/), [Yiyi Liao†](https://yiyiliao.github.io/ ) ## 🎓 Citation Please cite our paper if you find this repository useful: ```bibtex @misc{shao2024learningtemporallyconsistentvideo, title={Learning Temporally Consistent Video Depth from Video Diffusion Priors}, author={Jiahao Shao and Yuanbo Yang and Hongyu Zhou and Youmin Zhang and Yujun Shen and Vitor Guizilini and Yue Wang and Matteo Poggi and Yiyi Liao}, year={2024}, eprint={2406.01493}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2406.01493}, } ```
Source context: 78 downloads · 1 likes · Pipeline depth-estimation · Library diffusers · Repo jhshao/ChronoDepth-v1
Source context: 20 downloads · 1 likes · Pipeline depth-estimation · Library diffusers · Repo jhshao/ChronoDepth-v1
