AI RESEARCH
BlendFusion -- Scalable Synthetic Data Generation for Diffusion Model Training
arXiv CS.CV
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ArXi:2604.09022v1 Announce Type: new With the rapid adoption of diffusion models, synthetic data generation has emerged as a promising approach for addressing the growing demand for large-scale image datasets. However, images generated purely by diffusion models often exhibit visual inconsistencies, and