A multi-agent LLM framework that generates semantically grounded and visually appealing posters from papers using specialized agents for parsing, layout, styling, and rendering, evaluated via a VLM rubric.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
PosterGen: Aesthetic-Aware Multi-Modal Paper-to-Poster Generation via Multi-Agent LLMs
A multi-agent LLM framework that generates semantically grounded and visually appealing posters from papers using specialized agents for parsing, layout, styling, and rendering, evaluated via a VLM rubric.