Overcoming Mode Collapse with Adaptive Multi Adversarial Training

29 December 2021

Papers citing "Overcoming Mode Collapse with Adaptive Multi Adversarial Training"

7 / 7 papers shown

Title
Scaling-based Data Augmentation for Generative Models and its Theoretical Extension Yoshitaka Koike Takumi Nakagawa Hiroki Waida Takafumi Kanamori DiffM 30 0 0 28 Oct 2024
Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models N. Kuo Louisa R Jorm S. Barbieri DiffM 31 12 0 22 Mar 2023
Combating Mode Collapse in GANs via Manifold Entropy Estimation Haozhe Liu Bing Li Haoqian Wu Hanbang Liang Yawen Huang Yuexiang Li Guohao Li Yefeng Zheng GAN DRL 30 9 0 25 Aug 2022
Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV N. Kuo Federico Garcia Anders Sönnerborg Maurizio Zazzi Michael Böhm Rolf Kaiser Mark Polizzotto Louisa R Jorm S. Barbieri GAN 38 27 0 18 Aug 2022
IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse Yang Li Liangliang Shi Junchi Yan GAN 19 7 0 01 Jun 2021
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Sachit Menon Alexandru Damian Shijia Hu Nikhil Ravi Cynthia Rudin OOD DiffM 194 540 0 08 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 294 10,354 0 12 Dec 2018