Disconnected Manifold Learning for Generative Adversarial Networks

Disconnected Manifold Learning for Generative Adversarial Networks

3 June 2018

Mahyar Khayatkhoei

Maneesh Kumar Singh

Papers citing "Disconnected Manifold Learning for Generative Adversarial Networks"

11 / 11 papers shown

Title
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training Siddarth Asokan C. Seelamantula GAN 69 1 0 12 May 2023
Textual Manifold-based Defense Against Natural Language Adversarial Examples D. M. Nguyen Anh Tuan Luu AAML 19 17 0 05 Nov 2022
Verifying the Union of Manifolds Hypothesis for Image Data Bradley Brown Anthony L. Caterini Brendan Leigh Ross Jesse C. Cresswell G. Loaiza-Ganem 30 39 0 06 Jul 2022
Multi-level Latent Space Structuring for Generative Control Oren Katzir Vicky Perepelook Dani Lischinski Daniel Cohen-Or 24 4 0 11 Feb 2022
Manifold Learning Benefits GANs Yao Ni Piotr Koniusz Richard I. Hartley Richard Nock GAN 31 16 0 23 Dec 2021
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction Patrick Dendorfer Sven Elflein Laura Leal-Taixé 24 91 0 20 Aug 2021
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms Antonio Bărbălău Adrian Cosma Radu Tudor Ionescu Marius Popescu MIACV MLAU 22 43 0 21 Oct 2020
Spatial Frequency Bias in Convolutional Generative Adversarial Networks Mahyar Khayatkhoei Ahmed Elgammal GAN 15 45 0 04 Oct 2020
Empirical Analysis of Overfitting and Mode Drop in GAN Training Yasin Yazici Chuan-Sheng Foo Stefan Winkler Kim-Hui Yap V. Chandrasekhar 24 29 0 25 Jun 2020
Diverse Image Generation via Self-Conditioned GANs Steven Liu Tongzhou Wang David Bau Jun-Yan Zhu Antonio Torralba SyDa 27 107 0 18 Jun 2020
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions Jogendra Nath Kundu Maharshi Gor Dakshit Agrawal R. Venkatesh Babu GAN 22 11 0 11 Aug 2019