EditScore is a high-fidelity, open-source reward model series (7B–72B) designed for ICLR 2026 to evaluate instruction-guided image editing, covering semantic consistency and perceptual quality. The project features the EditReward-Bench dataset and supports reinforcement learning to improve image editing performance. Learn more at the EditScore GitHub repository .
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