Editor's Choice: Evaluating Abstract Intent in Image Editing through Atomic Entity Analysis

AbstractEdit introduces a benchmark and Entity-Rubrics evaluation framework for image editing under abstract instructions like mood or atmosphere, decomposing edits into entity-level assessments correlated with human judgment. Fills a gap left by literal-command benchmarks and matters for evaluating next-generation instruction-following image models.