ResearcharXiv cs.AI

Personalization as Inverse Planning: Learning Latent Design Intents for Agentic Slide Generation via Structural Denoising

#ai#slide design#personalization#reinforcement learning#denoising

English

The paper addresses the challenge of personalized slide design by formulating Page-level Slide Personalization (PSP) as an inverse planning problem. It introduces SPIRE, a framework that utilizes structural denoising and reinforcement learning to collaboratively refine slide designs without prior knowledge of specific tools.

中文

本文将页面级幻灯片个性化（PSP）视为逆规划问题，提出了SPIRE框架，通过结构去噪和强化学习协作优化幻灯片设计，而无需对特定工具的先验知识。