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TIGER-Lab/ImagenWorld-model-outputs

🖼️ ImagenWorld – Model Outputs ImagenWorld is a large-scale benchmark designed to evaluate image generation and editing models in realistic multimodal scenarios.It spans six diverse tasks and six content domains, providing a unified framework for assessing model compositionality, instruction following, and multimodal capabilities. This repository hosts the model-generated outputs for all ImagenWorld tasks.Each sample corresponds to a single condition set from the Condition… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/ImagenWorld-model-outputs.

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Author / organizationTIGER-Lab
License (as declared)mit
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Created14 October 2025
Last updated at source14 April 2026
image-editingimage-generationbenchmark
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  • 16 Oct 2026 Description: 🖼️ ImagenWorld – Model Outputs ImagenWorld is a large-scale benchmark designed to evaluate image generation and editing models in realistic multimodal scenarios.It spans six diverse tasks and six content domains, providing a unified framew → 🖼️ ImagenWorld – Model Outputs ImagenWorld is a large-scale benchmark designed to evaluate image generation and editing models in realistic multimodal scenarios.It spans six diverse tasks and six content domains, providing a unified framew

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