21 code implementations • NeurIPS 2019 • Kundan Kumar, Rithesh Kumar, Thibault de Boissiere, Lucas Gestin, Wei Zhen Teoh, Jose Sotelo, Alexandre de Brebisson, Yoshua Bengio, Aaron Courville
In this paper, we show that it is possible to train GANs reliably to generate high quality coherent waveforms by introducing a set of architectural changes and simple training techniques.
1 code implementation • 6 Dec 2017 • Rithesh Kumar, Jose Sotelo, Kundan Kumar, Alexandre de Brebisson, Yoshua Bengio
We present ObamaNet, the first architecture that generates both audio and synchronized photo-realistic lip-sync videos from any new text.
1 code implementation • 2 Mar 2017 • Caglar Gulcehre, Jose Sotelo, Marcin Moczulski, Yoshua Bengio
The information about the element-wise curvature of the loss function is estimated from the local statistics of the stochastic first order gradients.
3 code implementations • 22 Dec 2016 • Soroush Mehri, Kundan Kumar, Ishaan Gulrajani, Rithesh Kumar, Shubham Jain, Jose Sotelo, Aaron Courville, Yoshua Bengio
In this paper we propose a novel model for unconditional audio generation based on generating one audio sample at a time.