Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension

The paper introduces Attention-Guided Adaptive Rendering (AGAR), a model-agnostic technique designed to enhance Visual Text Comprehension (VTC) by utilizing a vision-language model's (VLM) attention from its middle-to-late layers to identify and enlarge important visual patches. AGAR improves performance across nine VTC benchmarks, including short-form and multi-page memory QA tasks, demonstrating its effectiveness as a plug-and-play enhancement for various VLM architectures without requiring additional training. This advancement is significant for practitioners as it optimizes the rendering process, improving answer accuracy while addressing limitations in existing VTC pipelines.