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Real or Not Real, that is the Question

Real or Not Real, that is the Question

International Conference on Learning Representations (ICLR), 2020
12 February 2020
Yuanbo Xiangli
Yubin Deng
Bo Dai
Chen Change Loy
Dahua Lin
    GAN
ArXiv (abs)PDFHTML

Papers citing "Real or Not Real, that is the Question"

21 / 21 papers shown
Denoising guarantees for optimized sampling schemes in compressed sensing
Denoising guarantees for optimized sampling schemes in compressed sensing
Y. Plan
Matthew Scott
Xia Sheng
Özgür Yilmaz
250
0
0
01 Apr 2025
Model-adapted Fourier sampling for generative compressed sensing
Model-adapted Fourier sampling for generative compressed sensing
Aaron Berk
Simone Brugiapaglia
Y. Plan
Matthew Scott
Xia Sheng
Özgür Yilmaz
234
4
0
08 Oct 2023
Dynamically Masked Discriminator for Generative Adversarial Networks
Dynamically Masked Discriminator for Generative Adversarial Networks
Wentian Zhang
Haozhe Liu
Bing Li
Jinheng Xie
Yawen Huang
Yuexiang Li
Yefeng Zheng
Guohao Li
TTA
400
2
0
13 Jun 2023
Improving GAN Training via Feature Space Shrinkage
Improving GAN Training via Feature Space Shrinkage
Haozhe Liu
Wentian Zhang
Bing Li
Haoqian Wu
Nanjun He
Yawen Huang
Yuexiang Li
Guohao Li
Yefeng Zheng
GAN
262
8
0
02 Mar 2023
Hierarchical Perception Adversarial Learning Framework for Compressed
  Sensing MRI
Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRIIEEE Transactions on Medical Imaging (TMI), 2023
Zhifan Gao
Yifeng Guo
Jiajing Zhang
T. Zeng
Guang Yang
MedIm
266
28
0
27 Jan 2023
Hierarchical and Progressive Image Matting
Hierarchical and Progressive Image Matting
Yu Qiao
Yuhao Liu
Ziqi Wei
Yuxin Wang
Qiang Cai
Guofeng Zhang
Xingbin Yang
205
16
0
13 Oct 2022
Combating Mode Collapse in GANs via Manifold Entropy Estimation
Combating Mode Collapse in GANs via Manifold Entropy Estimation
Haozhe Liu
Bing Li
Haoqian Wu
Hanbang Liang
Yawen Huang
Yuexiang Li
Guohao Li
Yefeng Zheng
GANDRL
589
9
0
25 Aug 2022
A survey on GANs for computer vision: Recent research, analysis and
  taxonomy
A survey on GANs for computer vision: Recent research, analysis and taxonomyComputer Science Review (CSR), 2022
Guillermo Iglesias
Edgar Talavera
Alberto Díaz-Álvarez
EGVMAI4TS
435
97
0
21 Mar 2022
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited
  Data
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited DataNeural Information Processing Systems (NeurIPS), 2021
Liming Jiang
Bo Dai
Wayne Wu
Chen Change Loy
371
131
0
12 Nov 2021
Manifold-preserved GANs
Manifold-preserved GANs
Haozhe Liu
Hanbang Liang
Xianxu Hou
Haoqian Wu
Feng Liu
Linlin Shen
264
5
0
18 Sep 2021
Towards Privacy-preserving Explanations in Medical Image Analysis
Towards Privacy-preserving Explanations in Medical Image Analysis
H. Montenegro
W. Silva
Jaime S. Cardoso
215
7
0
20 Jul 2021
Self-Supervised GANs with Label Augmentation
Self-Supervised GANs with Label Augmentation
Liang Hou
Huawei Shen
Qi Cao
Xueqi Cheng
490
21
0
16 Jun 2021
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to
  Limited Data Domains
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data DomainsInternational Journal of Computer Vision (IJCV), 2021
Yaxing Wang
Abel Gonzalez-Garcia
Chenshen Wu
Luis Herranz
Fahad Shahbaz Khan
Shangling Jui
Joost van de Weijer
242
7
0
28 Apr 2021
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by
  Transferring from GANs
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANsNeural Information Processing Systems (NeurIPS), 2020
Yaxing Wang
Lu Yu
Joost van de Weijer
VLM
207
18
0
11 Nov 2020
Towards a Better Global Loss Landscape of GANs
Towards a Better Global Loss Landscape of GANs
Tian Ding
Tiantian Fang
Alex Schwing
GAN
290
37
0
10 Nov 2020
Do 2D GANs Know 3D Shape? Unsupervised 3D shape reconstruction from 2D
  Image GANs
Do 2D GANs Know 3D Shape? Unsupervised 3D shape reconstruction from 2D Image GANsInternational Conference on Learning Representations (ICLR), 2020
Xingang Pan
Bo Dai
Ziwei Liu
Chen Change Loy
Ping Luo
3DH
460
119
0
02 Nov 2020
Random Network Distillation as a Diversity Metric for Both Image and
  Text Generation
Random Network Distillation as a Diversity Metric for Both Image and Text Generation
Liam H. Fowl
Micah Goldblum
Arjun Gupta
Amr Sharaf
Tom Goldstein
EGVM
222
3
0
13 Oct 2020
AIM 2020 Challenge on Image Extreme Inpainting
AIM 2020 Challenge on Image Extreme Inpainting
Evangelos Ntavelis
Andrés Romero
Siavash Bigdeli
Radu Timofte
229
27
0
02 Oct 2020
A Systematic Survey of Regularization and Normalization in GANs
A Systematic Survey of Regularization and Normalization in GANs
Wandi Qiao
Muhammad Usman
Rentuo Tao
Pengfei Xia
Xintian Wu
Huanhuan Chen
Bin Li
756
76
0
19 Aug 2020
Learning a low dimensional manifold of real cancer tissue with
  PathologyGAN
Learning a low dimensional manifold of real cancer tissue with PathologyGAN
A. Quiros
R. Murray-Smith
Ke-Fei Yuan
GANMedIm
207
10
0
13 Apr 2020
Exploiting Deep Generative Prior for Versatile Image Restoration and
  Manipulation
Exploiting Deep Generative Prior for Versatile Image Restoration and ManipulationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Xingang Pan
Xiaohang Zhan
Bo Dai
Dahua Lin
Chen Change Loy
Ping Luo
DiffM
571
433
0
30 Mar 2020
1
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