Metadata-Version: 2.1
Name: alias_free_torch
Version: 0.0.5
Summary: alias free torch
Home-page: https://github.com/junjun3518/alias-free-torch
Author: junjun3518
Author-email: junjun3518@gmail.com
License: UNKNOWN
Description: # Alias-Free-Torch
        
        Simple *torch* module implementation of [Alias-Free GAN](https://nvlabs.github.io/alias-free-gan/).
        
        This repository including
        - Alias-Free GAN style lowpass sinc filter @[filter.py](/src/alias_free_torch/filter.py)
        
        - Alias-Free GAN style up/downsample @[resample.py](/src/alias_free_torch/resample.py)
        
        - Alias-Free activation @[act.py](/src/alias_free_torch/act.py)
        
        - and test codes @[./test](/src/alias_free_torch/test)
        
        **Note: Since this repository is unofficial, filter and upsample could be different with [official implementation](https://github.com/NVlabs/stylegan3).**
        
        **Still working! If you notice some error or typo, please open new issue!**
        
        **UPDATE: You can download alias-free-torch from [pip](https://pypi.org/project/alias-free-torch/)** 
        ```shell
        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
        - [x] 2d sinc filter
        - [x] 2d resample
        - [x] devide 1d and 2d modules
        - [x] pip packaging
        - [x] rewrite upsample
        - [x] Upsample pad size issue
        - [x] \(Upsample\) support calculation for \[B,C,T/(H,W)\] (now only supports \[B,T/(H,W)\] or \[B,1,T/(H,W)\])
        - [x] set filter as register buffer
        - [x] \(Downsample & Filter\) 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 sine              | Filter noise                  |
        | --------------------- | --------------------------- |
        | ![filtersin](asset/filtersin.png) | ![filternoise](asset/filternoise.png) |
        
        | upsample              | downsample                  |
        | --------------------- | --------------------------- |
        | ![up2](asset/up2.png) | ![down10](asset/down10.png) |
        | ![up256](asset/up256.png) | ![down100](asset/down100.png) |
        
        ## Test results 2d
        | Filter L1 norm sine   | Filter noise                  |
        | --------------------- | --------------------------- |
        | ![filter2dsin](asset/filter2dsin.png) | ![filter2dnoise](asset/filter2dnoise.png) |
        
        | upsample              | downsample                  |
        | --------------------- | --------------------------- |
        | ![up2d2](asset/up2d2.png) | ![downsample2d2](asset/downsample2d2.png) |
        | ![up2d8](asset/up2d8.png) | ![downsample2d4](asset/downsample2d4.png) |
        
        ## References
        
        - [Alias-Free GAN](https://nvlabs-fi-cdn.nvidia.com/alias-free-gan/alias-free-gan-paper.pdf)
        - [adefossez](https://github.com/adefossez)/[julius](https://github.com/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](https://github.com/mindslab-ai).
        
        Thanks to teammates at MINDsLab Inc.
        - [Hyoungkyu Song](https://github.com/deepkyu)
        - [Kang-wook Kim](https://github.com/wookladin)
        - [Dongho Choi](https://github.com/dhchoi99)
        - [Sang Hoon Woo](https://github.com/tonyswoo)
        
        
Keywords: alias,torch,pytorch,filter
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3
Description-Content-Type: text/markdown
