https://github.com/aim-uofa/MovieDreamer
[ICLR'25] MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequences
https://github.com/aim-uofa/MovieDreamer
Last synced: 7 months ago
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[ICLR'25] MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequences
- Host: GitHub
- URL: https://github.com/aim-uofa/MovieDreamer
- Owner: aim-uofa
- Created: 2024-07-20T10:27:12.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-08-10T08:54:31.000Z (about 1 year ago)
- Last Synced: 2025-02-21T00:47:40.225Z (9 months ago)
- Homepage:
- Size: 55.8 MB
- Stars: 274
- Watchers: 23
- Forks: 8
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-diffusion-categorized - [Code
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:chhshen@gmail.com).
## 🖊️ 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},
}
```