PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides
Authors: name: Hao Zheng, name: Xinyan Guan, name: Hao Kong, name: Jia Zheng, name: Hongyu Lin, name: Yaojie Lu, name: Ben He, name: Xianpei Han, name: Le Sun
Organization: ICIP

Automatically generating presentations from documents is a challenging task
that requires balancing content quality, visual design, and structural
coherence. Existing methods primarily focus on improving and evaluating the
content quality in isolation, often overlooking visual design and structural
coherence, which limits their practical applicability. To address these
limitations, we propose PPTAgent, which comprehensively improves presentation
generation through a two-stage, edit-based approach inspired by human
workflows. PPTAgent first analyzes reference presentations to understand their
structural patterns and content schemas, then drafts outlines and generates
slides through code actions to ensure consistency and alignment. To
comprehensively evaluate the quality of generated presentations, we further
introduce PPTEval, an evaluation framework that assesses presentations across
three dimensions: Content, Design, and Coherence. Experiments show that
PPTAgent significantly outperforms traditional automatic presentation
generation methods across all three dimensions. The code and data are available
at https://github.com/icip-cas/PPTAgent.