May 23, 2019 · CASS unifies popular generative networks like auto-encoders (AEs) and generative adversarial networks (GANs) in a single framework. The basic ...

This paper introduces a cross adversarial source separation (CASS) framework via autoencoder, a new model that aims at separating an input signal consisting ...

May 23, 2019 · This paper introduces a cross adversarial source separation (CASS) framework via autoencoder, a new model that aims at separating an input ...

CASS is a source separation model unifying AE and GAN frameworks - ongyongzheng/cass.

This paper introduces a cross adversarial source separation (CASS) framework via autoencoder, a new model that aims at separating an input signal consisting ...

Yang*, CASS: Cross Adversarial Source Separation via Autoencoder. Submitted. [pdf]. [3] Y. Ong, H. Yang*, Generative Imaging and Image Processing via ...

CASS: Cross Adversarial Source Separation via Autoencoder · Yong Zheng OngC. ChuiHaizhao Yang. Computer Science, Engineering. arXiv.org. 2019. TLDR. A new model ...

CASS: Cross adversarial source separation via autoencoder. YZ Ong, CK Chui, H Yang. arXiv preprint arXiv:1905.09877, 2019. 3, 2019. Generative imaging and image ...

This paper introduces a cross adversarial source separation (CASS) framework via autoencoder, a new model that aims at separating an input signal consisting ...

CASS: Cross Adversarial Source Separation via Autoencoder. This paper introduces a cross adversarial source separation (CASS) frame... 0 Yong Zheng Ong ...