3 papers
cs.CV2025
RegionRAG: Region-level Retrieval-Augmented Generation for Visual Document Understanding
Yinglu Li, Zhiying Lu, Zhihang Liu +3
Multi-modal Retrieval-Augmented Generation (RAG) has become a critical method for empowering LLMs by leveraging candidate visual documents. However, current methods consider the en…
cs.CV2025
PosterMaker: Towards High-Quality Product Poster Generation with Accurate Text Rendering
Yifan Gao, Zihang Lin, Chuanbin Liu +4
Product posters, which integrate subject, scene, and text, are crucial promotional tools for attracting customers. Creating such posters using modern image generation methods is va…
cs.CV2025
Hybrid-Level Instruction Injection for Video Token Compression in Multi-modal Large Language Models
Zhihang Liu, Chen-Wei Xie, Pandeng Li +5
Recent Multi-modal Large Language Models (MLLMs) have been challenged by the computational overhead resulting from massive video frames, often alleviated through compression strate…