# EditAgent

EditAgent widens an image-editing agent's action space beyond a general editor to specialized methods, and attaches to each candidate a verification record of change maps, close-ups and measured color and geometry, so an off-the-shelf VLM judge compares candidates in one listwise call. On a 600-set, 30-edit-type expert-annotated diagnostic benchmark, the general editor yields no usable result in 42.7% of sets and specialized methods recover 175 of them; in a blind study on 144 Complex-Edit samples, experts preferred parallel search over sequential refinement in 78.5% of decided comparisons, at no more than half the judge calls.

EditAgent widens an image-editing agent's action space beyond a general editor to specialized methods, and attaches to each candidate a verification record of change maps, close-ups and measured color and geometry, so an off-the-shelf VLM judge compares candidates in one listwise call. On a 600-set, 30-edit-type expert-annotated diagnostic benchmark, the general editor yields no usable result in 42.7% of sets and specialized methods recover 175 of them; in a blind study on 144 Complex-Edit samples, experts preferred parallel search over sequential refinement in 78.5% of decided comparisons, at no more than half the judge calls.