InfoVis: Unified Slide Image Generation and Editing
Generating and editing presentation slides requires models to combine accurate text rendering, instruction following, visual grounding, aesthetic design, and precise editing within one canvas. Existing work covers only subsets of these capabilities and lacks large-scale slide-native supervision and diagnostic evaluation. We formulate four slide-centric tasks and build a scalabl
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Generating and editing presentation slides requires models to combine accurate text rendering, instruction following, visual grounding, aesthetic design, and precise editing within one canvas. Existing work covers only subsets of these capabilities and lacks large-scale slide-native supervision and diagnostic evaluation. We formulate four slide-centric tasks and build a scalabl
This work introduces a unified model for slide generation and editing, addressing a complex multimodal task. It highlights the importance of large-scale, task-specific data engines and robust benchmarks for developing practical AI applications in visual content creation.