3 papers
cs.CV2026
Text-Conditioned Background Generation for Editable Multi-Layer Documents
Taewon Kang, Joseph K J, Chris Tensmeyer +4
We present a framework for document-centric background generation with multi-page editing and thematic continuity. To ensure text regions remain readable, we employ a latent maskin…
cs.CV2026
AnyDoc: Enhancing Document Generation via Large-Scale HTML/CSS Data Synthesis and Height-Aware Reinforcement Optimization
Jiawei Lin, Wanrong Zhu, Vlad I Morariu +1
Document generation has gained growing attention in the field of AI-driven content creation. In this work, we push its boundaries by introducing AnyDoc, a framework capable of hand…
cs.CV2026
MiLDEdit: Reasoning-Based Multi-Layer Design Document Editing
Zihao Lin, Wanrong Zhu, Jiuxiang Gu +8
Real-world design documents (e.g., posters) are inherently multi-layered, combining decoration, text, and images. Editing them from natural-language instructions requires fine-grai…