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Generative Visual Manipulation on the Natural Image Manifold
v1v2v3 (latest)

Generative Visual Manipulation on the Natural Image Manifold

12 September 2016
Jun-Yan Zhu
Philipp Krahenbuhl
Eli Shechtman
Alexei A. Efros
    GAN
ArXiv (abs)PDFHTML

Papers citing "Generative Visual Manipulation on the Natural Image Manifold"

50 / 696 papers shown
Title
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video
  Translation
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation
Kwanyong Park
Sanghyun Woo
Dahun Kim
Donghyeon Cho
In So Kweon
VGen
71
40
0
21 Aug 2019
TunaGAN: Interpretable GAN for Smart Editing
TunaGAN: Interpretable GAN for Smart Editing
Weiquan Mao
B. Lou
Jiyao Yuan
CVBMGAN
44
4
0
16 Aug 2019
Faster Unsupervised Semantic Inpainting: A GAN Based Approach
Faster Unsupervised Semantic Inpainting: A GAN Based Approach
A. Lahiri
A. Jain
Divyasri Nadendla
P. Biswas
35
8
0
14 Aug 2019
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for
  Multi-Modal Data Distributions
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions
Jogendra Nath Kundu
Maharshi Gor
Dakshit Agrawal
R. Venkatesh Babu
GAN
74
11
0
11 Aug 2019
Adversarial View-Consistent Learning for Monocular Depth Estimation
Adversarial View-Consistent Learning for Monocular Depth Estimation
Yixuan Liu
Yuwang Wang
Shengjin Wang
MDE
97
1
0
04 Aug 2019
Co-Evolutionary Compression for Unpaired Image Translation
Co-Evolutionary Compression for Unpaired Image Translation
Han Shu
Yunhe Wang
Xu Jia
Kai Han
Hanting Chen
Chunjing Xu
Qi Tian
Chang Xu
52
87
0
25 Jul 2019
Interpreting the Latent Space of GANs for Semantic Face Editing
Interpreting the Latent Space of GANs for Semantic Face Editing
Yujun Shen
Jinjin Gu
Xiaoou Tang
Bolei Zhou
CVBMGAN
129
1,127
0
25 Jul 2019
AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation
AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation
Hyeongmin Lee
Taeoh Kim
Tae-Young Chung
Daehyun Pak
Yuseok Ban
Sangyoun Lee
123
244
0
24 Jul 2019
On the "steerability" of generative adversarial networks
On the "steerability" of generative adversarial networks
Ali Jahanian
Lucy Chai
Phillip Isola
GANOOD
155
397
0
16 Jul 2019
On the Evaluation of Conditional GANs
On the Evaluation of Conditional GANs
Terrance Devries
Adriana Romero
Luis Villaseñor-Pineda
Graham W. Taylor
M. Drozdzal
EGVM
87
43
0
11 Jul 2019
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for
  Autonomous Driving
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving
Zelun Kong
Junfeng Guo
Ang Li
Cong Liu
AAML
105
130
0
09 Jul 2019
M3D-GAN: Multi-Modal Multi-Domain Translation with Universal Attention
M3D-GAN: Multi-Modal Multi-Domain Translation with Universal Attention
Shuang Ma
Daniel J. McDuff
Yale Song
36
4
0
09 Jul 2019
Landmark Assisted CycleGAN for Cartoon Face Generation
Landmark Assisted CycleGAN for Cartoon Face Generation
Ruizheng Wu
Xiaodong Gu
Xin Tao
Xiaoyong Shen
Yu-Wing Tai
Jiaya Jia
GANCVBM
131
31
0
02 Jul 2019
Topology Maintained Structure Encoding
Topology Maintained Structure Encoding
Qing Fang
3DV
35
0
0
26 Jun 2019
Interactive Optimization of Generative Image Modeling using Sequential
  Subspace Search and Content-based Guidance
Interactive Optimization of Generative Image Modeling using Sequential Subspace Search and Content-based Guidance
T. Chong
I-Chao Shen
Issei Sato
Takeo Igarashi
47
4
0
24 Jun 2019
SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder
SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder
Marek Śmieja
Maciej Wołczyk
Jacek Tabor
Bernhard C. Geiger
37
23
0
21 Jun 2019
SemanticAdv: Generating Adversarial Examples via Attribute-conditional
  Image Editing
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing
Haonan Qiu
Chaowei Xiao
Lei Yang
Xinchen Yan
Honglak Lee
Yue Liu
AAML
69
172
0
19 Jun 2019
Mask Based Unsupervised Content Transfer
Mask Based Unsupervised Content Transfer
Ron Mokady
Sagie Benaim
Lior Wolf
Amit H. Bermano
72
14
0
15 Jun 2019
Shapes and Context: In-the-Wild Image Synthesis & Manipulation
Shapes and Context: In-the-Wild Image Synthesis & Manipulation
Aayush Bansal
Yaser Sheikh
Deva Ramanan
74
21
0
11 Jun 2019
Style Generator Inversion for Image Enhancement and Animation
Style Generator Inversion for Image Enhancement and Animation
Aviv Gabbay
Yedid Hoshen
64
17
0
05 Jun 2019
Baby steps towards few-shot learning with multiple semantics
Baby steps towards few-shot learning with multiple semantics
Eli Schwartz
Leonid Karlinsky
Rogerio Feris
Raja Giryes
A. Bronstein
VLM
110
106
0
05 Jun 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural
  Scene Representations
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Vincent Sitzmann
Michael Zollhoefer
Gordon Wetzstein
3DPC3DV
207
1,283
0
04 Jun 2019
Generative Adversarial Networks in Computer Vision: A Survey and
  Taxonomy
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy
Zhengwei Wang
Qi She
T. Ward
MedImEGVM
218
90
0
04 Jun 2019
GANchors: Realistic Image Perturbation Distributions for Anchors Using
  Generative Models
GANchors: Realistic Image Perturbation Distributions for Anchors Using Generative Models
Kurtis Evan David
Harrison Keane
Jun Min Noh
23
2
0
01 Jun 2019
Rank3DGAN: Semantic mesh generation using relative attributes
Rank3DGAN: Semantic mesh generation using relative attributes
Y. Saquil
Qun-Ce Xu
Yong-Liang Yang
P. Hall
GAN
33
4
0
24 May 2019
Toward Learning a Unified Many-to-Many Mapping for Diverse Image
  Translation
Toward Learning a Unified Many-to-Many Mapping for Diverse Image Translation
Wenju Xu
Shawn Keshmiri
Guanghui Wang
GAN
71
54
0
21 May 2019
S-Flow GAN
S-Flow GAN
Yakov Miron
Yona Coscas
GAN
70
5
0
21 May 2019
Non-Parametric Priors For Generative Adversarial Networks
Non-Parametric Priors For Generative Adversarial Networks
Rajhans Singh
Pavan Turaga
Suren Jayasuriya
Ravi Garg
M. Braun
GAN
69
13
0
16 May 2019
Kernel Mean Matching for Content Addressability of GANs
Kernel Mean Matching for Content Addressability of GANs
Wittawat Jitkrittum
Patsorn Sangkloy
Muhammad Waleed Gondal
Amit Raj
James Hays
Bernhard Schölkopf
GANBDL
68
9
0
14 May 2019
Learning Generative Models across Incomparable Spaces
Learning Generative Models across Incomparable Spaces
Charlotte Bunne
David Alvarez-Melis
Andreas Krause
Stefanie Jegelka
GAN
82
112
0
14 May 2019
TE141K: Artistic Text Benchmark for Text Effect Transfer
TE141K: Artistic Text Benchmark for Text Effect Transfer
Shuai Yang
Wenjing Wang
Jiaying Liu
59
22
0
08 May 2019
Source Generator Attribution via Inversion
Source Generator Attribution via Inversion
Michael Albright
Scott McCloskey
121
47
0
06 May 2019
Label-Noise Robust Multi-Domain Image-to-Image Translation
Label-Noise Robust Multi-Domain Image-to-Image Translation
Takuhiro Kaneko
Tatsuya Harada
82
3
0
06 May 2019
SinGAN: Learning a Generative Model from a Single Natural Image
SinGAN: Learning a Generative Model from a Single Natural Image
Tamar Rott Shaham
Tali Dekel
T. Michaeli
GANVLM
179
843
0
02 May 2019
An approach to image denoising using manifold approximation without
  clean images
An approach to image denoising using manifold approximation without clean images
Rohit Jena
58
2
0
28 Apr 2019
Fashion++: Minimal Edits for Outfit Improvement
Fashion++: Minimal Edits for Outfit Improvement
Wei-Lin Hsiao
Isay Katsman
Chao-Yuan Wu
Devi Parikh
Kristen Grauman
108
67
0
19 Apr 2019
Understanding Neural Networks via Feature Visualization: A survey
Understanding Neural Networks via Feature Visualization: A survey
Anh Nguyen
J. Yosinski
Jeff Clune
FAtt
79
162
0
18 Apr 2019
IAN: Combining Generative Adversarial Networks for Imaginative Face
  Generation
IAN: Combining Generative Adversarial Networks for Imaginative Face Generation
Abdullah Hamdi
Guohao Li
GANCVBM
46
3
0
16 Apr 2019
Recovering Faces from Portraits with Auxiliary Facial Attributes
Recovering Faces from Portraits with Auxiliary Facial Attributes
Fatemeh Shiri
Xin Yu
Fatih Porikli
Leonid Sigal
Piotr Koniusz
CVBM3DH
65
13
0
07 Apr 2019
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?
Rameen Abdal
Yipeng Qin
Peter Wonka
GAN
170
1,113
0
05 Apr 2019
Point-to-Point Video Generation
Point-to-Point Video Generation
Tsun-Hsuan Wang
Y. Cheng
Chieh Hubert Lin
Hwann-Tzong Chen
Min Sun
VGenDiffM
105
21
0
05 Apr 2019
Constrained Generative Adversarial Networks for Interactive Image
  Generation
Constrained Generative Adversarial Networks for Interactive Image Generation
Eric Heim
GAN
62
26
0
03 Apr 2019
A PCA-like Autoencoder
A PCA-like Autoencoder
Saïd Ladjal
A. Newson
Chi-Hieu Pham
68
33
0
02 Apr 2019
MeshGAN: Non-linear 3D Morphable Models of Faces
MeshGAN: Non-linear 3D Morphable Models of Faces
Shiyang Cheng
M. Bronstein
Yuxiang Zhou
I. Kotsia
Maja Pantic
Stefanos Zafeiriou
CVBM3DHGAN
72
81
0
25 Mar 2019
Unsupervised Cross-spectral Stereo Matching by Learning to Synthesize
Unsupervised Cross-spectral Stereo Matching by Learning to Synthesize
Mingyang Liang
Xiaoyang Guo
Hongsheng Li
Xiaogang Wang
You Song
GAN
55
29
0
04 Mar 2019
LaSO: Label-Set Operations networks for multi-label few-shot learning
LaSO: Label-Set Operations networks for multi-label few-shot learning
Amit Alfassy
Leonid Karlinsky
Amit Aides
J. Shtok
Sivan Harary
Rogerio Feris
Raja Giryes
A. Bronstein
129
119
0
26 Feb 2019
GAN-based Projector for Faster Recovery with Convergence Guarantees in
  Linear Inverse Problems
GAN-based Projector for Faster Recovery with Convergence Guarantees in Linear Inverse Problems
Ankit Raj
Yuqi Li
Y. Bresler
48
6
0
26 Feb 2019
Generative Models for Low-Rank Video Representation and Reconstruction
Generative Models for Low-Rank Video Representation and Reconstruction
Rakib Hyder
M. Salman Asif
GAN
74
11
0
25 Feb 2019
Adversarially Approximated Autoencoder for Image Generation and
  Manipulation
Adversarially Approximated Autoencoder for Image Generation and Manipulation
Wenju Xu
Shawn Keshmiri
Guanghui Wang
GAN
83
72
0
14 Feb 2019
Learning Generative Models of Structured Signals from Their
  Superposition Using GANs with Application to Denoising and Demixing
Learning Generative Models of Structured Signals from Their Superposition Using GANs with Application to Denoising and Demixing
Mohammadreza Soltani
Swayambhoo Jain
Abhinav V. Sambasivan
GANDiffM
40
2
0
12 Feb 2019
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