title: PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides
summary: 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.
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paper_authors.name: Xinyan Guan
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paper_authors.name: Hao Kong
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paper_authors.fullname: Hao Kong
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paper_authors.name: Jia Zheng
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paper_authors.fullname: Zheng Jia
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paper_authors.name: Hongyu Lin
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paper_authors.fullname: Hongyu  Lin
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paper_authors.name: Yaojie Lu
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paper_authors.fullname: Yaojie Lu
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paper_authors._id: 677e43433dfa51c15df22b83
paper_authors.name: Ben He
paper_authors._id: 677e43433dfa51c15df22b84
paper_authors.name: Xianpei Han
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paper_authors._id: 65e99a77e71555ed193609cf
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paper_authors._id: 677e43433dfa51c15df22b85
paper_authors.name: Le Sun
paper_title: PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides
paper_summary: 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.
paper_ai_summary: PPTAgent, a two-stage approach, improves presentation generation by analyzing reference presentations and ensuring structural and content consistency, outperforming traditional methods across content, design, and coherence.
paper_ai_keywords: PPTAgent edit-based approach structural patterns content schemas outlines slides consistency alignment PPTEval evaluation framework Content Design Coherence