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Dataset Β· Hugging Face

ONE-Lab/MultiRef-dataset

MultiRef-Dataset 🏠 Project Page | πŸ’» GitHub | πŸ“– Paper | πŸ€— MultiRef-Benchmark MultiRef-Dataset is a large-scale dataset of over 38,000 samples for training controllable image generation models to use multiple visual references. 🧠 Overview The MultiRef-Dataset was created to facilitate research and development of generative models that can synthesize new images by combining elements from various visual sources. All 38,076 samples are synthetically generated… See the full description on the dataset page: https://huggingface.co/datasets/ONE-Lab/MultiRef-dataset.

Author / organizationONE-Lab
License (as declared)cc-by-nc-4.0
Downloads417 (as reported by Hugging Face)
Likes2
Created11 June 2025
Last updated at source26 November 2025
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  • 16 Oct 2026 Description: MultiRef-Dataset 🏠 Project Page | πŸ’» GitHub | πŸ“– Paper | πŸ€— MultiRef-Benchmark MultiRef-Dataset is a large-scale dataset of over 38,000 samples for training controllable image generation models to use multiple visual references. 🧠 Overvie β†’ MultiRef-Dataset 🏠 Project Page | πŸ’» GitHub | πŸ“– Paper | πŸ€— MultiRef-Benchmark MultiRef-Dataset is a large-scale dataset of over 38,000 samples for training controllable image generation models to use multiple visual references. 🧠 Overvie

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