VisionWeave: Weaving Elastic Visual Representations as a Native Capability of MLLMs

VisionWeave implements elastic visual representation weaving to replace fixed-size patch token encoding in multimodal large language models. The method enables end-to-end, content-adaptive granularity, allocating high-resolution tokens to complex regions while using compact representations for simpler backgrounds to reduce computational overhead without sacrificing fine-grained detail.