|
---
|
|
license: apache-2.0
|
|
language:
|
|
- en
|
|
tags:
|
|
- qihoo-t2x
|
|
- video-generation
|
|
- text-to-video
|
|
---
|
|
# Qihoo-T2X
|
|
This is the official reproduction of [Qihoo-T2X](https://360cvgroup.github.io/Qihoo-T2X/), which represents a groundbreaking DiT architecture paradigm designed for Text-to-Any tasks.
|
|
|
|
**[QIHOO-T2X: AN EFFICIENT PROXY-TOKENIZED DIFFUSION TRANSFORMER FOR TEXT-TO-ANY-TASK](https://arxiv.org/pdf/2409.04005)**
|
|
</br>
|
|
Jing Wang*, Ao Ma*, Jiasong Feng*, Dawei Leng†‡, Yuhui Yin, Xiaodan Liang‡(*Equal Contribution, †Project Lead, ‡Corresponding Authors)
|
|
</br>
|
|
|
|
## We Are Hiring
|
|
We are seeking academic interns in the AIGC field. If interested, please send your resume to [maao@360.cn](mailto:maao@360.cn).
|
|
|
|
## BibTeX
|
|
```
|
|
@article{wang2024qihoo,
|
|
title={Qihoo-T2X: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Any-Task},
|
|
author={Wang, Jing and Ma, Ao and Feng, Jiasong and Leng, Dawei and Yin, Yuhui and Liang, Xiaodan},
|
|
journal={arXiv preprint arXiv:2409.04005},
|
|
year={2024}
|
|
}
|
|
```
|
|
|
|
## License
|
|
This project is licensed under the [Apache License (Version 2.0)](https://github.com/modelscope/modelscope/blob/master/LICENSE).
|
|
|