Qwen Image Bench A creator centric benchmark for evaluating Text to Image models beyond semantic alignment. Links Resource Link 📑 Paper http://arxiv.org/abs/2605.28091 📊 Benchmark Dataset (HuggingFace) https://huggingface.co/datasets/Qwen/Qwen Image Bench 📊 Benchmark Dataset (ModelScope) https://www.modelscope.cn/datasets/Qwen/Qwen Image Bench 💻 GitHub https://github.com/QwenLM/Qwen Image Bench 🧑⚖️ Q Judger Model https://huggingface.co/Qwen/Qwen Image Bench 🧑⚖️ Q Judger Model https://modelscope.cn/models/Qwen/Qwen Image Bench Overview Text to Image (T2I) generation has evolved from basic image synthesis into a core capability in professional creative workflows. Simple text image alignment can no longer satisfy the pressing demands for faithful real world reconstruction and genuine creative expression. Existing benchmarks remain anchored in foundational criteria and fail to reliably distinguish state of the art T2I models. Moreover, many evaluation pipelines rely on a single MLLM as the sole judge, diverging from professional human standards. Qwen Image Bench is a creator centric benchmark co designed with professional artists and grounded in real world creation scenarios. B…
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