AI RESEARCH
Omni IIE Bench: Benchmarking the Practical Capabilities of Image Editing Models
arXiv CS.CV
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ArXi:2603.16944v1 Announce Type: new While Instruction-based Image Editing (IIE) has achieved significant progress, existing benchmarks pursue task breadth via mixed evaluations. This paradigm obscures a critical failure mode crucial in professional applications: the inconsistent performance of models across tasks of varying semantic scales. To address this gap, we