Evaluating image editing models with a single score hides the nuance behind a lower score. EdiVal-Agent (ICLR 2026) splits evaluation across instruction followi

Evaluating image editing models with a single score hides the nuance behind a lower score. EdiVal-Agent (ICLR 2026) splits evaluation across instruction following, content consistency, and visual quality. Its agentic judge reached 81.3% agreement with human judgments, compared with 75.2% for a VLM-o…