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README.md
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python sample_run.py
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The script loads the anonymised speaker example provided in the sample_data folder. It generates 10 25-dimensinoal facial reactions using ResDiffFRG and saves the output as a .npy file to the results folder.
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Please note that the included checkpoint is stored in FP16 to satisfy ICLR's 100MB size limit for the supplementary submission. It is loaded into the standard FP32 model during inference.
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python sample_run.py
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The script loads the anonymised speaker example provided in the sample_data folder. It generates 10 25-dimensinoal facial reactions using ResDiffFRG and saves the output as a .npy file to the results folder.
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