arXiv
Open Access
2024
OpenCOLE: Towards Reproducible Automatic Graphic Design Generation
Naoto Inoue
Kento Masui
Wataru Shimoda
Kota Yamaguchi
Abstrak
Automatic generation of graphic designs has recently received considerable attention. However, the state-of-the-art approaches are complex and rely on proprietary datasets, which creates reproducibility barriers. In this paper, we propose an open framework for automatic graphic design called OpenCOLE, where we build a modified version of the pioneering COLE and train our model exclusively on publicly available datasets. Based on GPT4V evaluations, our model shows promising performance comparable to the original COLE. We release the pipeline and training results to encourage open development.
Penulis (4)
N
Naoto Inoue
K
Kento Masui
W
Wataru Shimoda
K
Kota Yamaguchi
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2024
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓