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https://github.com/aim-uofa/MovieDreamer


https://github.com/aim-uofa/MovieDreamer

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README

        








## MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequences


📖 Project Page |
📄 Paper Link |
🤗 Huggingface Paper Link |
📹 Demo

> MovieDreamer aims to provide a solution for long content generation. Our method is capable of generating both long story and long video with multiple characters well-preserved!



## 📣 News
- [7/20/2024] Paper released!

## 😲 Results
Please refer to our [homepage](https://aim-uofa.github.io/MovieDreamer/) for more thrilling results!

## 🛠️ Setup
- Comming Soon...

## 🚩 Plan
- [x] Story Results and Video Results.
- [x] Paper Released.
- [ ] Source Code and Pretrained Weights of Diffusion AutoEncoder.
- [ ] Source Code and Pretrained Weights of Autoregressive Model.
- [ ] Source code of Video Generation.
- [ ] Source code of Data Pre-processing.
- [ ] Source code of Training.

## 🎫 License

For academic use, this project is licensed under [the 2-clause BSD License](https://opensource.org/license/bsd-2-clause).
For commercial use, please contact [Chunhua Shen](mailto:[email protected]).

## 🖊️ Citation
```
@misc{zhao2024moviedreamerhierarchicalgenerationcoherent,
title={MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequence},
author={Canyu Zhao and Mingyu Liu and Wen Wang and Jianlong Yuan and Hao Chen and Bo Zhang and Chunhua Shen},
year={2024},
eprint={2407.16655},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2407.16655},
}
```