arXiv Computer Vision
RULER: Instance-aware Rubric Rewards for SVG Generation
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RubricRM introduces a pairwise generative reward modeling framework that generates an input‑specific rubric—comprising evaluation dimensions, weights, and scoring criteria—to score candidate images. The method is trained in two stages: supervised fine‑tuning to learn the rubric‑based scoring paradigm and GRPO to refine dimension‑level rewards. Experiments on text‑to‑image generation and instruction‑based image editing benchmarks demonstrate that RubricRM outperforms existing specialized reward models and competes with strong proprietary MLLM judges while using smaller backbones.
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VectorGym: A Multi-Task Benchmark for SVG Code Generation, Sketching and Editing
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SVG-Score: Human-Aligned Evaluation of Text-to-SVG Generation
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arXiv AI
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