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fix typo
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jchieh committed Jun 28, 2023
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8 changes: 4 additions & 4 deletions Readme.md
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Expand Up @@ -19,7 +19,7 @@ The system will allow a user to generate an image of the component or the page b

### Pipeline description

Step #1) Input mockup layout in the SVG format. It can be user-created or text-based generation using with [[Challenge #1 | Text-to-layout generator](https://github.com/neurons-lab/Penpot-C1_Design-Co-pilot/tree/main/Approach%233-New_layout_generation)]
Step #1) Input mockup layout in the SVG format. It can be user-created or text-based generation using with [Challenge #1 | Text-to-layout generator](https://github.com/neurons-lab/Penpot-C1_Design-Co-pilot/tree/main/Approach%233-New_layout_generation)

![Screenshot 2023-06-19 at 14.54.24.png](reports/figures/Screenshot_2023-06-19_at_14.54.24.png)

Expand All @@ -37,20 +37,20 @@ Step #3) User pick several inspiring options for further SVG re-implementation
- Input: text prompt
- Output: layouts and various complete designs
- Dataset:
- Text prompt ↔ layout pairs: follow UI description [[Paper](references/research_papers/UIDiscription.pdf)] to create
- Text prompt ↔ layout pairs: follow UI description [[Paper](references/research_papers/UIDescription.pdf)] to create
- layout ↔ complete design pairs: [Rico’17](https://www.kaggle.com/datasets/onurgunes1993/rico-dataset)

### Relevant works**

[Research]

- Apple`21 about parsing layout into components [[Website](https://blog.ml.cmu.edu/2021/12/10/understanding-user-interfaces-with-screen-parsing/)]
- Apple21 proposed “parsing layout into components [[Website](https://blog.ml.cmu.edu/2021/12/10/understanding-user-interfaces-with-screen-parsing/)]

![1ODBmbHSwFRMgGTreeZLegw.gif](reports/figures/1ODBmbHSwFRMgGTreeZLegw.gif)

- LayoutDM [[Github](https://cyberagentailab.github.io/layout-dm/)]
- BoostingGUI :first tries on controllable page-generation [[Paper](references/research_papers/BoostingGUI.pdf)]
- UI description [[Paper](references/research_papers/UIDiscription.pdf)]
- UI description [[Paper](references/research_papers/UIDescription.pdf)]
- Text-to-image generator:
- Latent Diffusion Model [[Paper](references/research_papers/LDM.pdf)] [[Github](https://github.com/CompVis/latent-diffusion)]

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