It Takes (Only) Two: Adversarial Generator-Encoder Networks

7 April 2017

Andrea Vedaldi

Papers citing "It Takes (Only) Two: Adversarial Generator-Encoder Networks"

26 / 26 papers shown

Title
Matching aggregate posteriors in the variational autoencoder Surojit Saha Sarang Joshi Ross T. Whitaker DRL 34 4 0 13 Nov 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 29 507 0 07 Mar 2023
Human Image Generation: A Comprehensive Survey Zhen Jia Zhang Zhang Liangsheng Wang Tieniu Tan EGVM 3DH VGen 41 5 0 17 Dec 2022
Autoencoding Video Latents for Adversarial Video Generation Sai Hemanth Kasaraneni VGen 27 3 0 18 Jan 2022
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction Xili Dai Shengbang Tong Mingyang Li Ziyang Wu Michael Psenka ... Pengyuan Zhai Yaodong Yu Xiaojun Yuan Harry Shum Yi Ma 25 30 0 12 Nov 2021
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation Lynton Ardizzone Jakob Kruse Carsten T. Lüth Niels Bracher Carsten Rother Ullrich Kothe 21 31 0 05 May 2021
Generative Model without Prior Distribution Matching Cong Geng Jia Wang L. Chen Zhiyong Gao GAN 120 1 0 23 Sep 2020
Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization Zhiwen Zuo Lei Zhao Zhizhong Wang Haibo Chen Ailin Li Qijiang Xu Wei Xing Dongming Lu GAN 42 0 0 08 Aug 2020
Reciprocal Adversarial Learning via Characteristic Functions Shengxi Li Zeyang Yu Min Xiang Danilo P. Mandic GAN 29 13 0 15 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 24 294 0 09 Jun 2020
Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies Minhyeok Lee Junhee Seok GAN 27 25 0 19 May 2020
Unconditional Audio Generation with Generative Adversarial Networks and Cycle Regularization Jen-Yu Liu Yu-Hua Chen Yin-Cheng Yeh Yi-Hsuan Yang GAN 32 35 0 18 May 2020
Adversarial Latent Autoencoders Stanislav Pidhorskyi Donald Adjeroh Gianfranco Doretto GAN DRL 42 259 0 09 Apr 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 26 818 0 20 Jan 2020
Deep Automodulators Ari Heljakka Wenshuai Zhao Arno Solin Arno Solin 31 5 0 21 Dec 2019
Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference Wei-An Lin Yogesh Balaji Pouya Samangouei Rama Chellappa 33 6 0 23 Nov 2019
Uncertainty Quantification with Generative Models Vanessa Böhm F. Lanusse U. Seljak 22 25 0 22 Oct 2019
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 21 61 0 09 Oct 2019
Large Scale Adversarial Representation Learning Jeff Donahue Karen Simonyan SSL 60 542 0 04 Jul 2019
Disentangled Inference for GANs with Latently Invertible Autoencoder Jiapeng Zhu Deli Zhao Bo-Wen Zhang Bolei Zhou GAN DRL 27 35 0 19 Jun 2019
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders Ari Heljakka Arno Solin Arno Solin DRL CVBM 29 15 0 12 Apr 2019
Deep Generative Learning via Variational Gradient Flow Yuan Gao Yuling Jiao Yang Wang Yao Wang Can Yang Shunkang Zhang 24 36 0 24 Jan 2019
Pioneer Networks: Progressively Growing Generative Autoencoder Ari Heljakka Arno Solin Arno Solin GAN DRL 27 41 0 09 Jul 2018
MGGAN: Solving Mode Collapse using Manifold Guided Training Duhyeon Bang Hyunjung Shim GAN 30 77 0 12 Apr 2018
Hierarchical Adversarially Learned Inference Mohamed Ishmael Belghazi Sai Rajeswar Olivier Mastropietro Negar Rostamzadeh Jovana Mitrović Aaron Courville GAN BDL 40 29 0 04 Feb 2018
Variational Approaches for Auto-Encoding Generative Adversarial Networks Mihaela Rosca Balaji Lakshminarayanan David Warde-Farley S. Mohamed DRL GAN 19 263 0 15 Jun 2017