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license: cc-by-nc-nd-4.0 |
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viewer: false |
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# Benchmarking Spatial Relationships in Text-to-Image Generation |
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*Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang* |
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- We introduce a large-scale challenge dataset SR<sub>2D</sub> that contains sentences describing two objects and the spatial relationship between them. |
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- We introduce a metric called VISOR (short for **V**erify**I**ng **S**patial **O**bject **R**elationships) to quantify spatial reasoning performance. |
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- VISOR and SR<sub>2D</sub> can be used off-the-shelf with any text-to-image model. |
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## SR<sub>2D</sub> Dataset |
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Our dataset is hosted as [here](https://huggingface.co/datasets/tgokhale/sr2d_visor). This contains |
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1. The text prompt dataset in `.json` format (`text_spatial_rel_phrases.json`) |
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2. Images generated using 7 models (GLIDE, CogView2, DALLE-mini, Stable Diffusion, GLIDE + Stable Diffusion + CDM, and Stable Diffusion v2.1) |
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Alternatively, the text prompt dataset can also accessed from [`text_spatial_rel_phrases.json`](https://github.com/microsoft/VISOR/blob/main/text_spatial_rel_phrases.json). It contains all examples from the current version of the dataset (31680 text prompts) accompanied by the corresponding metadata. |
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This dataset can also be generated by running the script `python create_spatial_phrases.py` |
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## GitHub repository |
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The GitHub repository for [VISOR](https://github.com/microsoft/VISOR/) contains code for generating images with prompts from the SR<sub>2D</sub> dataset and evaluating the generated images using VISOR. |
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## References |
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Code for text-to-image generation: |
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1. GLIDE: https://github.com/openai/glide-text2im |
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2. DALLE-mini: https://github.com/borisdayma/dalle-mini |
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3. CogView2: https://github.com/THUDM/CogView2 |
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4. Stable Diffusion: https://github.com/CompVis/stable-diffusion |
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5. Composable Diffusion Models: https://github.com/energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch |
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6. OpenAI API for DALLE-2: https://openai.com/api/ |
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## Citation |
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If you find SR<sub>2D</sub> or VISOR useful in your research, please use the following citation: |
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``` |
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@article{gokhale2022benchmarking, |
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title={Benchmarking Spatial Relationships in Text-to-Image Generation}, |
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author={Gokhale, Tejas and Palangi, Hamid and Nushi, Besmira and Vineet, Vibhav and Horvitz, Eric and Kamar, Ece and Baral, Chitta and Yang, Yezhou}, |
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journal={arXiv preprint arXiv:2212.10015}, |
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year={2022} |
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} |
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``` |