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Deep Learning project exploring emergent correspondence features in image diffusion models

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Diffusion Segmentation Project for ETH Deep Learning A23

The project currently adheres to the following structure:

  • Python files (.py) live in the code directory
  • Jupyter notebooks (.ipynb) live in the notebooks directory
  • Datasets are placed in the data directory, with the following structure:
    • data
      • {dataset_name_1}
        • img
          • {image_file_name_1}.jpg
          • {image_file_name_2}.jpg
          • ...
          • {image_file_name_n}.jpg
        • gt
          • {ground_truth_segmentation_file_name_1}.png
          • {ground_truth_segmentation_file_name_2}.png
          • ...
          • {ground_truth_segmentation_file_name_n}.png
      • {dataset_name_2}
        • ...

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Deep Learning project exploring emergent correspondence features in image diffusion models

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