Seeing What a GAN Cannot Generate

24 October 2019

Jun-Yan Zhu

Antonio Torralba

Papers citing "Seeing What a GAN Cannot Generate"

23 / 173 papers shown

Title
Low Distortion Block-Resampling with Spatially Stochastic Networks S. J. Hong Martín Arjovsky Darryl Barnhart Ian Thompson 19 8 0 09 Jun 2020
Explicit Gradient Learning Mor Sinay Elad Sarafian Y. Louzoun Noam Agmon Sarit Kraus OffRL 25 8 0 09 Jun 2020
Robust Face Verification via Disentangled Representations Marius Arvinte Ahmed H. Tewfik S. Vishwanath CVBM 16 1 0 05 Jun 2020
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs Yujun Shen Ceyuan Yang Xiaoou Tang Bolei Zhou GAN CVBM 22 597 0 18 May 2020
Transforming and Projecting Images into Class-conditional Generative Networks Minyoung Huh Richard Y. Zhang Jun-Yan Zhu S. Paris Aaron Hertzmann 23 110 0 04 May 2020
Towards causal generative scene models via competition of experts Julius von Kügelgen Ivan Ustyuzhaninov Peter V. Gehler Matthias Bethge Bernhard Schölkopf OCL 3DV 14 51 0 27 Apr 2020
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects Evangelos Ntavelis Andrés Romero I. Kastanis Luc Van Gool Radu Timofte VLM 18 75 0 10 Apr 2020
In-Domain GAN Inversion for Real Image Editing Jiapeng Zhu Yujun Shen Deli Zhao Bolei Zhou DiffM 15 639 0 31 Mar 2020
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation Xingang Pan Xiaohang Zhan Bo Dai Dahua Lin Chen Change Loy Ping Luo DiffM 55 359 0 30 Mar 2020
Scalable learning for bridging the species gap in image-based plant phenotyping Daniel Ward Peyman Moghadam 14 29 0 24 Mar 2020
Semantic Pyramid for Image Generation Assaf Shocher Yossi Gandelsman Inbar Mosseri Michal Yarom Michal Irani William T. Freeman Tali Dekel GAN 14 55 0 13 Mar 2020
Metrics and methods for robustness evaluation of neural networks with generative models Igor Buzhinsky Arseny Nerinovsky S. Tripakis AAML 34 25 0 04 Mar 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 26 817 0 20 Jan 2020
Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild Canjie Luo Qingxiang Lin Yuliang Liu Lianwen Jin Chunhua Shen GAN 14 34 0 13 Jan 2020
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation Hao Tang Dan Xu Yan Yan Philip H. S. Torr N. Sebe GAN 23 141 0 27 Dec 2019
CNN-generated images are surprisingly easy to spot... for now Sheng-Yu Wang Oliver Wang Richard Y. Zhang Andrew Owens Alexei A. Efros OOD 16 940 0 23 Dec 2019
Image Processing Using Multi-Code GAN Prior Jinjin Gu Yujun Shen Bolei Zhou GAN 30 314 0 15 Dec 2019
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models Giannis Daras Augustus Odena Han Zhang A. Dimakis 32 54 0 27 Nov 2019
Image2StyleGAN++: How to Edit the Embedded Images? Rameen Abdal Yipeng Qin Peter Wonka 28 553 0 26 Nov 2019
Learning to Have an Ear for Face Super-Resolution Givi Meishvili Simon Jenni Paolo Favaro SupR CVBM 33 23 0 27 Sep 2019
Interpreting the Latent Space of GANs for Semantic Face Editing Yujun Shen Jinjin Gu Xiaoou Tang Bolei Zhou CVBM GAN 19 1,112 0 25 Jul 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 282 10,354 0 12 Dec 2018
Inverting The Generator Of A Generative Adversarial Network Antonia Creswell Anil Anthony Bharath GAN 171 338 0 17 Nov 2016