084-variational-transformer-networks-for-layout-generation
https://github.com/szu-advtech-2024/084-variational-transformer-networks-for-layout-generation
Science Score: 31.0%
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✓CITATION.cff file
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✓codemeta.json file
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○.zenodo.json file
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (1.9%) to scientific vocabulary
Last synced: 10 months ago
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- Host: GitHub
- Owner: SZU-AdvTech-2024
- Default Branch: main
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Created over 1 year ago
· Last pushed over 1 year ago
Metadata Files
Citation
https://github.com/SZU-AdvTech-2024/084-Variational-Transformer-Networks-for-Layout-Generation/blob/main/
# ## Python Python 3.10 ## RICO [RICO ](http://www.interactionmining.org/rico.html) ## 1. Conda ```bash conda create -n your_env_name python=3.10 ``` 2. ```bash conda activate your_env_name ``` 3. ```bash pip install -r requirements.txt ``` ## ```bash python VAEP.py ``` ## - `requirements.txt` ##
Owner
- Name: SZU-AdvTech-2024
- Login: SZU-AdvTech-2024
- Kind: organization
- Repositories: 1
- Profile: https://github.com/SZU-AdvTech-2024
Citation (citation.txt)
@misc{REPO084,
title = "{Variational Transformer Networks for Layout Generation}",
author = "Diego Martin Arroyo and Janis Postels and Federico Tombari",
year = "2021",
eprint = "2104.02416",
archivePrefix = "arXiv",
primaryClass = "cs.CV",
url = "https://arxiv.org/abs/2104.02416",
}
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