Learning Generative Models of Structured Signals from Their Superposition Using GANs with Application to Denoising and Demixing

12 February 2019

Papers citing "Learning Generative Models of Structured Signals from Their Superposition Using GANs with Application to Denoising and Demixing"

2 / 2 papers shown

Title
Generative Adversarial Source Separation Cem Subakan Paris Smaragdis GAN 122 67 0 30 Oct 2017
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 168 1,940 0 24 Oct 2016