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4 changes: 2 additions & 2 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -19,7 +19,7 @@ Our MultiBooth is based on pre-trained [Stable Diffusion v1.5](https://huggingfa
## 🔍 Method
![method](img/Framework.png "method")

The overall pipeline of MultiBooth can be devided into two phase: (a) During the single-concept learning phase, a multi-modal encoder and LoRA parameters are trained to encode every single concept. (b) During the multi-concept integration phase, the customized embeddings S* and V* are converted into text embeddings, which are then combined with the corresponding LoRA parameters to form single-concept modules. These single-concept modules, along with the bounding boxes, are intended to serve as input for the regional customization module.
The overall pipeline of MultiBooth can be divided into two phase: (a) During the single-concept learning phase, a multi-modal encoder and LoRA parameters are trained to encode every single concept. (b) During the multi-concept integration phase, the customized embeddings S* and V* are converted into text embeddings, which are then combined with the corresponding LoRA parameters to form single-concept modules. These single-concept modules, along with the bounding boxes, are intended to serve as input for the regional customization module.

## 🔥 News
- 2024.4.23 Release [paper](https://arxiv.org/abs/2404.14239) and [project page](https://multibooth.github.io/)!
Expand All @@ -34,4 +34,4 @@ The overall pipeline of MultiBooth can be devided into two phase: (a) During the
archivePrefix={arXiv},
primaryClass={cs.CV}
}
```
```