AI RESEARCH
LaDe: Unified Multi-Layered Graphic Media Generation and Decomposition
arXiv CS.CV
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ArXi:2603.17965v1 Announce Type: new Media design layer generation enables the creation of fully editable, layered design documents such as posters, flyers, and logos using only natural language prompts. Existing methods either restrict outputs to a fixed number of layers or require each layer to contain only spatially continuous regions, causing the layer count to scale linearly with design complexity. We propose LaDe (Layered Media Design), a latent diffusion framework that generates a flexible number of semantically meaningful layers.