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.

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

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

Filter sine	Filter noise

upsample	downsample

Filter L1 norm sine	Filter noise

upsample	downsample

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

This work is done at MINDsLab Inc.

Thanks to teammates at MINDsLab Inc.