| --- |
| dataset_info: |
| features: |
| - name: target_image |
| dtype: image |
| - name: condition_image_1 |
| dtype: image |
| - name: condition_image_2 |
| dtype: image |
| - name: condition_image_3 |
| dtype: image |
| - name: caption |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 5757742734 |
| num_examples: 2000 |
| download_size: 5736519068 |
| dataset_size: 5757742734 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - image-to-image |
| language: |
| - zh |
| - en |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # ID-Bench |
|
|
|
|
| **ID-Bench** is a real-world benchmark for **multi-reference identity-preserving image generation**. It is built from real-world e-commerce advertising images and organized by **product identity**, with the goal of evaluating whether a model can generate a **novel target image** that both preserves product identity and follows target-specific variation cues. |
|
|
|
|
| We release, in this repository, the curated benchmark dataset that is consistent with the one used for evaluation in our paper. The full training dataset will be released soon. |
|
|
| ## What Makes ID-Bench Different? |
|
|
| Recent progress in reference-guided image generation has improved visual quality substantially, but evaluating **multi-reference identity-preserving generation** remains challenging. Many existing settings do not clearly distinguish: |
|
|
| - genuine same-identity generation, |
| - trivial copying from the conditioning set, |
| - and target-guided variation control. |
|
|
| ID-Bench is designed to address this gap in a real-world product-image setting. |
|
|
| ## Data Format |
|
|
| Each example contains: |
|
|
| - `target_image`: the held-out target image |
| - `condition_image_1`: reference image 1 from the same product identity |
| - `condition_image_2`: reference image 2 from the same product identity |
| - `condition_image_3`: reference image 3 from the same product identity |
| - `caption`: a short target-oriented caption describing the desired image or scene |
|
|
|
|
| For more information, please visit our project website: [ID-Bench](https://zyyyz.github.io/IDBench/). |
|
|
