Zero-Shot Image Classification
Transformers
Safetensors
clip
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@@ -16,7 +16,7 @@ SciScore is finetuned on the base model [CLIP-H](https://huggingface.co/laion/CL
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  ## Resources
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  - [Website](https://jialuo-li.github.io/Science-T2I-Web/)
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- - [arXiv: Paper](https://arxiv.org)
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  - [GitHub: Code](https://github.com/Jialuo-Li/Science-T2I)
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  - [Huggingface: Science-T2I-S&C Benchmark](https://huggingface.co/collections/Jialuo21/science-t2i-67d3bfe43253da2bc7cfaf06)
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  - [Huggingface: Science-T2I Trainset](https://huggingface.co/datasets/Jialuo21/Science-T2I-Trainset)
@@ -69,4 +69,18 @@ def calc_probs(prompt, images):
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  pil_images = [Image.open("./examples/camera_1.png"), Image.open("./examples/camera_2.png")]
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  prompt = "A camera screen without electricity sits beside the window, realistic."
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  print(calc_probs(prompt, pil_images))
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
 
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  ## Resources
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  - [Website](https://jialuo-li.github.io/Science-T2I-Web/)
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+ - [arXiv: Paper](https://arxiv.org/abs/2504.13129)
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  - [GitHub: Code](https://github.com/Jialuo-Li/Science-T2I)
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  - [Huggingface: Science-T2I-S&C Benchmark](https://huggingface.co/collections/Jialuo21/science-t2i-67d3bfe43253da2bc7cfaf06)
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  - [Huggingface: Science-T2I Trainset](https://huggingface.co/datasets/Jialuo21/Science-T2I-Trainset)
 
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  pil_images = [Image.open("./examples/camera_1.png"), Image.open("./examples/camera_2.png")]
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  prompt = "A camera screen without electricity sits beside the window, realistic."
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  print(calc_probs(prompt, pil_images))
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+ ```
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+
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+ ## Citation
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+
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+ ```
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+ @misc{li2025sciencet2iaddressingscientificillusions,
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+ title={Science-T2I: Addressing Scientific Illusions in Image Synthesis},
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+ author={Jialuo Li and Wenhao Chai and Xingyu Fu and Haiyang Xu and Saining Xie},
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+ year={2025},
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+ eprint={2504.13129},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2504.13129},
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+ }
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  ```