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README.md
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task_categories:
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- other
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## Description
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WAVE models are generative models designed to decode natural images from fMRI data. We utilize contrastive learning and diffusion models, trained using the PyTorch library. This suite includes both universal models trained across all subjects and subject-specific models, particularly for the CSI1 subject within the BOLD5000 dataset. Pre-trained models and additional resources are also available.
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## Model Structure
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### Universal Model
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- **All**: A universal model trained on data from all subjects.
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language:
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- en
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task_categories:
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- other
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tags:
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## Description
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WAVE models are generative models designed to decode natural images from fMRI data. We utilize contrastive learning and diffusion models, trained using the PyTorch library. This suite includes both universal models trained across all subjects and subject-specific models, particularly for the CSI1 subject within the BOLD5000 dataset. Pre-trained models and additional resources are also available.
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Check our paper here: https://arxiv.org/abs/2411.07121
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## Model Structure
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### Universal Model
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- **All**: A universal model trained on data from all subjects.
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