Vision2Code: A Multi-Domain Benchmark for Evaluating Image-to-Code Generation
Vision2Code introduces a reference-code-free benchmark to test how well vision-language models can write executable code to recreate structured images across diverse domains like charts, geometry, and 3D scenes. The evaluation uses dataset-specific rubrics applied after code execution, showing that this method yields scores highly correlated with human judgments compared to generic metrics.