PosterForest: Hierarchical Multi-Agent Collaboration for Scientific Poster Generation
Researchers have developed PosterForest, a novel framework designed to automate the generation of scientific posters. This training-free method utilizes a hierarchical approach, employing a structured intermediate representation called the Poster Tree to capture document hierarchy and semantics. Content and layout agents then work together through recursive refinement, optimizing the poster from a global organization to local composition for improved coherence and visual appeal. Experiments indicate that PosterForest surpasses existing methods in both automated and human evaluations. AI
IMPACT This framework could streamline the creation of scientific presentations, freeing up researchers' time for core scientific work.