On the Implicit Assumptions of GANs

29 November 2018

Papers citing "On the Implicit Assumptions of GANs"

11 / 11 papers shown

Title
Robust Survival Analysis with Adversarial Regularization Michael Potter Stefano Maxenti Michael Everett AAML 24 0 0 26 Dec 2023
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis Lingting Zhu Zeyue Xue Zhenchao Jin Xian Liu Jingzhen He Ziwei Liu Lequan Yu DiffM MedIm 32 33 0 19 Jul 2023
NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models Seung Wook Kim Bradley Brown K. Yin Karsten Kreis Katja Schwarz Daiqing Li Robin Rombach Antonio Torralba Sanja Fidler VGen 25 62 0 19 Apr 2023
Overcoming challenges in leveraging GANs for few-shot data augmentation Christopher Beckham I. Laradji Pau Rodríguez López David Vazquez Derek Nowrouzezahrai C. Pal 10 1 0 30 Mar 2022
Towards A Multi-agent System for Online Hate Speech Detection Gaurav Sahu R. Cohen Olga Vechtomova 16 9 0 03 May 2021
Exploiting the Hidden Tasks of GANs: Making Implicit Subproblems Explicit Romann M. Weber GAN 13 1 0 28 Jan 2021
A Novel Framework for Selection of GANs for an Application Tanya Motwani Manojkumar Somabhai Parmar 27 8 0 20 Feb 2020
Seeing What a GAN Cannot Generate David Bau Jun-Yan Zhu Jonas Wulff William S. Peebles Hendrik Strobelt Bolei Zhou Antonio Torralba GAN 48 308 0 24 Oct 2019
Training generative networks using random discriminators Babak Barazandeh Meisam Razaviyayn Maziar Sanjabi GAN 11 4 0 22 Apr 2019
Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds Hisham Husain Richard Nock Robert C. Williamson GAN DRL 13 3 0 03 Feb 2019
Deconstructing Generative Adversarial Networks Banghua Zhu Jiantao Jiao David Tse 34 49 0 27 Jan 2019