This work forms image-to-editable reconstruction, which recovers a structured, directly manipulable artifact from a raster image while preserving its visual and semantic content, and introduces DrawAI, comprising an agentic benchmark, DrawAI-Bench, and a reconstruction workflow, DrawAI-Flow.
Pu Cao, Qingye Kong, Xuedan Yin et al.· 2 citations· ⚡1
Vision-language models (VLMs) increasingly rely on point coordinates as a compact and executable interface for visual grounding in GUI interaction, robotic manipulation, and interactive visual systems. However, learning reliable pointing behavior remains difficult because the supervision space is inherently non-unique:...
Jing-Yang Su, Pu Cao, Xiu-Ze Jin et al.· 0 citations
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