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Score Based Multimodal Autoencoders

This is the code for the paper Score Based Multimodal Autoencoders

Please refer to the official repo at https://github.com/rooshenasgroup/sbmae if you have questions.

Design

Get started (Extended PolyMnist)

  • Download the dataset and the FID model* !-- Download the preprocessed dataset from here Download the FID model from here -->
    pip install -r requirements.txt
    mv pt_inception-2015-12-05-6726825d.pth ./pytorch_fid/
    tar xvzf upd_poly.tar
    ./train_poly.sh

Get started (CelebMaskHQ)

  • Download the dataset and the FID model* Download the preprocessed dataset from here Download the FID model from here
    pip install -r requirements.txt
    mv pt_inception-2015-12-05-6726825d.pth ./pytorch_fid/
    tar xvzf celm_hq.tar
    ./train_cel.sh

To train the EBM model, please look at train_cel_clwithtime_ebm_NOIND.py script

For sampling and other calclations, please look at the scripts.

About

Official reporsitory for the paper score-based multimodal autoencoder: https://arxiv.org/pdf/2305.15708

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