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RubricRM: Generative Reward Modeling via Dynamic Rubrics for Image Generation and Editing

arXiv · AI, language, vision and robotics · article · Aug 27, 2026 · UTC

Reward models play an essential role in aligning visual generative models, yet most existing visual reward models use a single scalar score or rely on fixed criteria that cannot adapt to different instructions. This limits both interpretability and task sensitivity, especially for text-to-image generation and instruction-based image editing, where different inputs require different evaluation dimensions. We propose RubricRM, a pairwise generative reward modeling framework that first produces an input-specific rubric with evaluation dimensions, weights, and scoring criteria, and then applies th

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