{"library":"alias-free-torch","type":"library","category":null,"description":"Alias-Free Torch is a Python library providing a simple PyTorch module implementation of Alias-Free GAN (Generative Adversarial Networks) concepts. It includes Alias-Free GAN style lowpass sinc filters, up/downsampling, and activation modules. The library aims to reduce aliasing artifacts in generated images, which is crucial for deep learning models like diffusion architectures, by integrating signal processing-based alias-free resampling techniques. The current version is 0.0.6, and the project is actively maintained, though it is described as an unofficial implementation and may not perfectly align with official StyleGAN3 implementations.","language":"python","status":"active","version":"0.0.6","tags":["PyTorch","computer-vision","signal-processing","deep-learning","GAN","aliasing"],"last_verified":"Mon May 25","install":[{"cmd":"pip install alias-free-torch","imports":["from alias_free_torch.filter import LowPassFilter1d","from alias_free_torch.filter import LowPassFilter2d","from alias_free_torch.resample import UpSample1d","from alias_free_torch.resample import DownSample1d","from alias_free_torch.act import Activation1d"]}],"homepage":null,"github":"https://github.com/junjun3518/alias-free-torch","docs":null,"changelog":null,"pypi":"https://pypi.org/project/alias-free-torch/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":1.5,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/alias-free-torch/compatibility"}}