A simple fork for personal usage. Modified to run on Mel Scale Spectrograms on audio files to alter timbral adjectives. Used NSynth Dataset, pulled "bright", "dark", "distortion" and "percussive" from the "Note Qualities". Modified to work properly on the latest version of PyTorch (v2.0.1 as of writing), CUDA was not ported, runs on CPU.
All rights belong to their respective authors.
PyTorch implementation of Fader Networks (NIPS 2017).
Fader Networks: Manipulating Images by Sliding Attributes - G. Lample, N. Zeghidour, N. Usunier, A. Bordes, L. Denoyer, M'A. Ranzato
@inproceedings{lample2017fader,
title={Fader Networks: Manipulating Images by Sliding Attributes},
author={Lample, Guillaume and Zeghidour, Neil and Usunier, Nicolas and Bordes, Antoine and DENOYER, Ludovic and others},
booktitle={Advances in Neural Information Processing Systems},
pages={5963--5972},
year={2017}
}