Dataset · Hugging Face

ONE-Lab/MultiRef-benchmark

Name: MultiRef-benchmark
Creator: ONE-Lab
License: cc-by-nc-4.0
Keywords: task_categories:text-to-image, task_categories:image-to-image, language:en, license:cc-by-nc-4.0, size_categories:1K<n<10K, format:imagefolder, modality:image, library:datasets, library:mlcroissant, arxiv:2508.06905, region:us, multimodal, computer-vision, image-generation, benchmark

MultiRef-Benchmark 🏠 Project Page | 💻 GitHub | 📖 Paper | 🤗 MultiRef-Dataset MultiRef-Benchmark is a rigorous evaluation framework for controllable image generation models that use multiple visual references. 🧠 Overview MultiRef-Benchmark is designed to test a model's ability to integrate diverse visual elements from multiple sources, a common task for digital artists but a significant challenge for current generative models. The benchmark comprises 1,990… See the full description on the dataset page: https://huggingface.co/datasets/ONE-Lab/MultiRef-benchmark.

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Author / organization	ONE-Lab
License (as declared)	cc-by-nc-4.0
Downloads	618 (as reported by Hugging Face)
Likes	2
Created	7 June 2025
Last updated at source	3 July 2026

multimodalcomputer-visionimage-generationbenchmark

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