| --- |
| pretty_name: VisSlideBench |
| license: cc-by-nc-4.0 |
| language: |
| - en |
| task_categories: |
| - text-to-image |
| - image-to-image |
| tags: |
| - slides |
| - presentation |
| - text-rendering |
| - image-editing |
| - benchmark |
| size_categories: |
| - 1K<n<10K |
| configs: |
| - config_name: t2i |
| data_files: |
| - split: test |
| path: data/t2i.jsonl |
| - config_name: template |
| data_files: |
| - split: test |
| path: data/template.jsonl |
| - config_name: multi_image |
| data_files: |
| - split: test |
| path: data/multi_image.jsonl |
| - config_name: edit |
| data_files: |
| - split: test |
| path: data/edit.jsonl |
| --- |
| |
| # VisSlideBench |
|
|
| VisSlideBench evaluates single-slide image generation and editing. It has 1,527 |
| manually screened cases in four tracks that share one text-and-image interface. |
|
|
| [📄 Paper](https://arxiv.org/abs/2610.16784) | [💻 Code](https://github.com/VectorSpaceLab/InfoVis) | [🤗 Model](https://huggingface.co/InfoVis/InfoVis) | [📦 Training data](https://huggingface.co/datasets/InfoVis/Data) |
|
|
| | Track | Config | Visual input | Real | Synthetic | Total | |
| |---|---|---|---:|---:|---:| |
| | Text-to-slide | `t2i` | none | 167 | 150 | 317 | |
| | Template-conditioned | `template` | one reference slide | 147 | 150 | 297 | |
| | Multi-image grounded | `multi_image` | one to four assets | 179 | 150 | 329 | |
| | Slide editing | `edit` | source slide | – | – | 584 | |
|
|
| Real cases come from presentation decks. Synthetic cases were built with |
| Nano-Banana-2. Every generation track mixes three prompt forms: short requests, |
| detailed descriptions, and structured `style_json` specifications. |
|
|
| | Prompt form | t2i | template | multi_image | |
| |---|---:|---:|---:| |
| | short | 115 | 111 | 103 | |
| | long | 109 | 114 | 110 | |
| | style_json | 93 | 72 | 116 | |
|
|
| The edit track covers nine operations: text modification (50), block addition |
| (74), block removal (49), background update (52), color change (49), font change |
| (49), typography change (73), image replacement (103), and theme switching (85). |
|
|
| ## Files |
|
|
| ``` |
| data/t2i.jsonl data/template.jsonl data/multi_image.jsonl data/edit.jsonl |
| images/<track>/<id>_input_<k>.<ext> # visual inputs (template, multi_image) |
| images/<track>/<id>_target.<ext> # reference target slide, when available |
| images/edit/<id>_source.png # slide to edit |
| images/edit/<id>_target.png # reference edited slide |
| eval/ # scoring code and judge prompts |
| ``` |
|
|
| All image paths in the jsonl files are relative to the dataset root. |
|
|
| Generation record: |
|
|
| ```json |
| {"index": 0, "id": "46f1aa2e-...", "task": "t2i", "source": "real", "prompt_type": "short", |
| "instruction": "The slide is titled ...", "input_images": [], |
| "target_image": "images/t2i/46f1aa2e-..._target.jpg", "width": 2589, "height": 1455} |
| ``` |
|
|
| `width` and `height` are the size of the reference slide. Our runs generate |
| t2i cases at 1280x720 and template and multi-image cases at 1376x768. |
| `target_image` is a reference only and is `null` for some synthetic |
| template and multi-image cases; no metric compares against it. |
|
|
| Edit record: |
|
|
| ```json |
| {"index": 0, "id": "add_block__add_000299", "task": "edit", "operation": "add_block", |
| "instruction": "Insert the subtitle ...", "source_image": "images/edit/..._source.png", |
| "target_image": "images/edit/..._target.png", "width": 1280, "height": 720} |
| ``` |
|
|
| ## Evaluation |
|
|
| Save one PNG per case as `<pred_dir>/<track>/<id>.png`, then run the scripts in |
| `eval/` (see `eval/README.md`). |
|
|
| | Track | Metrics | |
| |---|---| |
| | t2i, template | Content Faithfulness (CF), Instruction Following (IF), Aesthetic Quality (AQ) | |
| | multi_image | CF (text and input-image preservation, averaged), IF, AQ | |
| | edit | Semantic Consistency (SC = min of edit success and edit consistency), Presentation Quality (PQ) | |
| |
| CF text fidelity uses OCR and a normalized edit distance against the text the |
| instruction requires. IF, AQ, image preservation, SC, and PQ use GPT-4.1 as the |
| judge; IF and AQ are the unweighted means of their sub-dimension scores. The |
| overall score averages the eleven metrics. |
| |
| ## License |
| |
| VisSlideBench is released under CC BY-NC 4.0 for non-commercial research use. |
| Real cases come from publicly shared presentation decks, whose content remains |
| the property of its authors; synthetic cases were generated with Nano-Banana-2. |
| If you own content in this dataset and want it removed, please open a |
| discussion on this repository. |
| |
| ## Citation |
| |
| ```bibtex |
| @article{wang2026infovis, |
| title={InfoVis: Unified Slide Image Generation and Editing}, |
| author={Jiahao Wang and Xiyan Jiang and Chenyuan Wu and Haoqiang Zhang and Xin Luo and Yueze Wang and Defu Lian and Bo Zhang and Jiajun Zhang and Zheng Liu}, |
| journal={arXiv preprint arXiv:2610.16784}, |
| year={2026} |
| } |
| ``` |
| |
