Smoothness and Stability in GANs

11 February 2020

Papers citing "Smoothness and Stability in GANs"

10 / 10 papers shown

Title
Nested Annealed Training Scheme for Generative Adversarial Networks Chang Wan Ming-Hsuan Yang Minglu Li Yunliang Jiang Zhonglong Zheng GAN 35 0 0 20 Jan 2025
Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces Viktor Stein Sebastian Neumayer Gabriele Steidl Nicolaj Rux 48 9 0 07 Feb 2024
Regular Time-series Generation using SGM Haksoo Lim Minjung Kim Sewon Park Noseong Park DiffM TTA AI4TS 25 23 0 20 Jan 2023
Gromov-Wasserstein Autoencoders Nao Nakagawa Ren Togo Takahiro Ogawa Miki Haseyama GAN DRL 13 11 0 15 Sep 2022
Invariant Representations with Stochastically Quantized Neural Networks Mattia Cerrato Marius Köppel Roberto Esposito Stefan Kramer MQ 17 4 0 04 Aug 2022
A Closer Look at Smoothness in Domain Adversarial Training Harsh Rangwani Sumukh K Aithal Mayank Mishra Arihant Jain R. Venkatesh Babu 25 119 0 16 Jun 2022
Manifold Learning Benefits GANs Yao Ni Piotr Koniusz Richard I. Hartley Richard Nock GAN 18 16 0 23 Dec 2021
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris TTA 25 8 0 26 Aug 2021
Conditional Generative Modeling via Learning the Latent Space Sameera Ramasinghe Kanchana Ranasinghe Salman Khan Nick Barnes Stephen Gould BDL 29 9 0 07 Oct 2020
Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies Minhyeok Lee Junhee Seok GAN 12 25 0 19 May 2020