ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment 事件

ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment arXiv:2605.27374v1 Announce Type: new Abstract: Recent advances in multimodal large language models (MLLMs) and diffusion models (DMs) have opened new possibilities for AI-generated content. Yet, personalized cover image generation remains underexplored, despite its critical role in boosting user engagement on digital platforms. We propose ICG, a novel framework that integrates MLLM-based prompt