Text-Vision Co-Instructed Editing Combines Semantic Intent with Spatial Precision

A unified image editing framework jointly conditions on textual instructions for semantic intent and sparse visual prompts (drag, point) for spatial guidance, trained on a 23K paired dataset. This addresses the tradeoff where text-only editing lacks spatial precision and visual-only prompts lack semantic clarity.