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Unbalanced GANs: Pre-training the Generator of Generative Adversarial
  Network using Variational Autoencoder

Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder

6 February 2020
Hyung-Gi Ham
Tae Joon Jun
Daeyoung Kim
    DRL
    GAN
ArXivPDFHTML

Papers citing "Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder"

5 / 5 papers shown
Title
Balanced Training for Sparse GANs
Balanced Training for Sparse GANs
Yite Wang
Jing Wu
N. Hovakimyan
Ruoyu Sun
43
9
0
28 Feb 2023
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing
  Performance
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance
Shiwei Liu
Yuesong Tian
Tianlong Chen
Li Shen
36
8
0
05 Mar 2022
Projected GANs Converge Faster
Projected GANs Converge Faster
Axel Sauer
Kashyap Chitta
Jens Muller
Andreas Geiger
47
234
0
01 Nov 2021
SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text
  Style Transfer
SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer
Jicheng Li
Yang Feng
Jiao Ou
DiffM
29
2
0
27 Apr 2021
Are deep learning models superior for missing data imputation in large
  surveys? Evidence from an empirical comparison
Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison
Zhenhua Wang
O. Akande
Jason Poulos
Fan Li
BDL
11
22
0
14 Mar 2021
1