DiffuEraser: A Diffusion Model for Video Inpainting
Paper • 2501.10018 • Published • 17
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("lixiaowen/diffuEraser", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]DiffuEraser: A Diffusion Model for Video Inpainting
DiffuEraser is a diffusion model for video inpainting, which outperforms state-of-the-art model Propainter in both content completeness and temporal consistency while maintaining acceptable efficiency.
Model Sources
- Project Page: https://lixiaowen-xw.github.io/DiffuEraser-page
- Repository: https://github.com/lixiaowen-xw/DiffuEraser.git
- Paper: https://arxiv.org/abs/2501.10018
Citation
BibTeX:
@misc{li2025diffueraserdiffusionmodelvideo,
title={DiffuEraser: A Diffusion Model for Video Inpainting},
author={Xiaowen Li and Haolan Xue and Peiran Ren and Liefeng Bo},
year={2025},
eprint={2501.10018},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2501.10018},
}
Model Card Authors
Xiaowen Li / xwlxw@qq.com / lxw262398@alibaba-inc.com
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