| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - text-to-image |
| language: |
| - en |
| --- |
| |
| <h1 align="center">🍌 MultiBanana: A Challenging Benchmark for Multi-Reference Text-to-Image Generation 🍌</h1> |
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| <p align="center"> |
| <b>CVPR 2026 (Main)</b> |
| </p> |
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| This repository provides the datasets for |
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| **“MultiBanana: A Challenging Benchmark for Multi-Reference Text-to-Image Generation” by Yuta Oshima, Daiki Miyake, Kohsei Matsutani, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo and Hiroki Furuta** |
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| ## Paper Link |
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| https://arxiv.org/abs/2511.22989 |
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| ## Github Repository |
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| For the usage of this benchmark, please see Github Repository. |
| https://github.com/matsuolab/multibanana/ |
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| ## Dataset Summary |
| MultiBanana-Bench comprises 32 tasks designed to evaluate how well image generation models can faithfully incorporate information from multiple reference images. We report evaluation scores using **Qwen3-VL-8B-Instruct**, a fixed, open-weight judge model. We hope this benchmark, along with its evaluation framework using an open-source VLM as a judge, will serve as a foundation for future research in multi-reference text-to-image generation. |
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| ## Acknowledgement |
| This dataset partially incorporates a subset of images from the LAION-5B dataset. |
| We acknowledge and thank the LAION team for making such a valuable large-scale dataset openly available to the research community. |
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| ## Opt-out and Removal |
| This dataset contains images from the LAION-5B dataset, which are available on the public internet. |
| If your image represents you or your copyrighted work and you wish to have it removed from this dataset, please contact us at {yuta.oshima, daiki.miyake}[at]g.ecc.u-tokyo.ac.jp with the relevant image. |
| We will remove the entry from the dataset immediately. |
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| ## Safety and Ethics |
| While this dataset is derived from LAION, web-crawled data may still contain inappropriate or harmful content. |
| We have applied auto filtering with Gemini-Flash-2.5 and human annotator. |
| Please exercise caution when you viewing the images. |
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| ## Citation |
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| ``` |
| @inproceedings{oshima2026multibanana, |
| author = {Oshima, Yuta and Miyake, Daiki and Matsutani, Kohsei and Iwasawa, Yusuke and Suzuki, Masahiro and Matsuo, Yutaka and Furuta, Hiroki}, |
| title = {MultiBanana: A Challenging Benchmark for Multi-Reference Text-to-Image Generation}, |
| booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, |
| month = {June}, |
| year = {2026}, |
| pages = {448-460} |
| } |
| ``` |
