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alias free torch

pip install alias-free-torch

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Requires Python

>=3

Dependencies

    Alias-Free-Torch

    Simple torch module implementation of Alias-Free GAN.

    This repository including

    Note: Since this repository is unofficial, filter and upsample could be different with official implementation.

    Still working! If you notice some error or typo, please open new issue! v0.0.8 is TESTED

    UPDATE: You can download alias-free-torch from pip

    python -m pip install alias-free-torch
    

    Requirements

    Due to torch.kaiser_window and torch.i0 are implemeted after 1.7.0, our repository need torch>=1.7.0.

    • Pytorch>=1.7.0

    For custom torch users, pip will not check torch version.

    TODO

    • 2d sinc filter
    • 2d resample
    • devide 1d and 2d modules
    • pip packaging
    • rewrite upsample
    • Upsample pad size issue
    • (Upsample) support calculation for [B,C,T/(H,W)] (now only supports [B,T/(H,W)] or [B,1,T/(H,W)])
    • set filter as register buffer
    • (Downsample & Filter) support calculation for [B,C,T/(H,W)] (now only supports [B,T/(H,W)] or [B,1,T/(H,W)])
    • provide loadable ckpt for lower version of torch
    • documentation

    Test results 1d

    Filter sineFilter noise
    filtersinfilternoise
    upsampledownsample
    up2down10
    up256down100

    Test results 2d

    Filter L1 norm sineFilter noise
    filter2dsinfilter2dnoise
    upsampledownsample
    up2d2downsample2d2
    up2d8downsample2d4

    References

    • Alias-Free GAN
    • adefossez/julius
    • A. V. Oppenheim and R. W. Schafer. Discrete-Time Signal Processing. Pearson, International Edition, 3rd edition, 2010

    Acknowledgement

    This work is done at MINDsLab Inc.

    Thanks to teammates at MINDsLab Inc.