AI RESEARCH
Prompt-Guided Prefiltering for VLM Image Compression
arXiv CS.AI
•
ArXi:2604.00314v1 Announce Type: cross The rapid progress of large Vision-Language Models (VLMs) has enabled a wide range of applications, such as image understanding and Visual Question Answering (VQA). Query images are often uploaded to the cloud, where VLMs are typically hosted, hence efficient image compression becomes crucial. However, traditional human-centric codecs are suboptimal in this setting because they preserve many task-irrelevant details.