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Subsampling Generative Adversarial Networks: Density Ratio Estimation in
  Feature Space with Softplus Loss

Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss

24 September 2019
Xin Ding
Z. Jane Wang
William J. Welch
ArXivPDFHTML

Papers citing "Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss"

3 / 3 papers shown
Title
Generating High Fidelity Data from Low-density Regions using Diffusion
  Models
Generating High Fidelity Data from Low-density Regions using Diffusion Models
Vikash Sehwag
C. Hazirbas
Albert Gordo
Firat Ozgenel
Cristian Canton Ferrer
DiffM
33
66
0
31 Mar 2022
Conditional Frechet Inception Distance
Conditional Frechet Inception Distance
Michael Soloveitchik
Tzvi Diskin
E. Morin
A. Wiesel
EGVM
21
33
0
21 Mar 2021
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative
  Adversarial Networks
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
J. Lee
Haeri Kim
Youngkyu Hong
Hye Won Chung
25
21
0
24 Feb 2021
1