AI RESEARCH
Omni-I2C: A Holistic Benchmark for High-Fidelity Image-to-Code Generation
arXiv CS.CV
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ArXi:2603.17508v1 Announce Type: new We present Omni-I2C, a comprehensive benchmark designed to evaluate the capability of Large Multimodal Models (LMMs) in converting complex, structured digital graphics into executable code. We argue that this task represents a non-trivial challenge for the current generation of LMMs: it demands an unprecedented synergy between high-fidelity visual perception -- to parse intricate spatial hierarchies and symbolic details -- and precise generative expression -- to synthesize syntactically sound and logically consistent code.