AI RESEARCH
MAST: Mask-Guided Attention Mass Allocation for Training-Free Multi-Style Transfer
arXiv CS.AI
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ArXi:2604.12281v1 Announce Type: cross Style transfer aims to render a content image with the visual characteristics of a reference style while preserving its underlying semantic layout and structural geometry. While recent diffusion-based models nstrate strong stylization capabilities by leveraging powerful generative priors and controllable internal representations, they typically assume a single global style.