A VLM fine-tuned on instruction data and two new datasets generates text logo glyph layouts that beat a GAN baseline on geometric and human-preference benchmarks.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
GLDesigner: Leveraging Multi-Modal LLMs as Designer for Enhanced Aesthetic Text Glyph Layouts
A VLM fine-tuned on instruction data and two new datasets generates text logo glyph layouts that beat a GAN baseline on geometric and human-preference benchmarks.