AI RESEARCH
MMCORE: MultiModal COnnection with Representation Aligned Latent Embeddings
arXiv CS.LG
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ArXi:2604.19902v1 Announce Type: cross We present MMCORE, a unified framework designed for multimodal image generation and editing. MMCORE leverages a pre-trained Vision-Language Model (VLM) to predict semantic visual embeddings via learnable query tokens, which subsequently serve as conditioning signals for a diffusion model. This streamlined design effectively transfers the rich understanding and reasoning capabilities of VLMs into the visual generation process. By obviating the need for deep fusion between autoregressive and diffusion models or.