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Paper · arXiv

SceneCraft: Interactive System for Image Editing via Scene Graph

Recent advances in generative AI have enabled natural language-driven image editing, yet existing systems often fail in complex scenes with multiple interacting objects because they rely heavily on users crafting precise text prompts. To address the absence of structured control, we propose SceneCraft, a novel interactive framework that bridges user intent and model execution by representing images as editable scene graphs. Instead of guessing text prompts through trial and error, users interact directly with a visual graph to perform complex spatial and relational operations. These graph modifications are automatically translated into precise, context-aware editing prompts, effectively e...

AuthorsDuc-Manh Phan, Ngoc-Dai Tran, Duy-Khang Do et al.
Primary categorycs.CV
Published15 June 2026
Last updated at source15 June 2026
cs.CV
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