SOURCE-LINKED INTELLIGENCE
PrismGPT: Proxy-Guided Learning for Region-Aware Photo Editing with Self-Synthesized Reasoning
Professional photo finishing relies on both global adjustments and region-specific local edits guided by semantic masks, yet current automated methods handle this workflow only partially. We present PrismGPT, a Vision-Language Model (VLM) framework that produces structured, region-aware editing plans from a single input image without relying on commercial black-box tools. Training a VLM to simultaneously diagnose aesthetic deficiencies at both global and local levels while predicting precise editing parameters is challenging due to the vast combinatorial decision space. We address this through
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-21T15:35:53.000Z
First collected: 2026-09-23T06:11:12.848Z. This is not the publication date.