ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1808.07535
  4. Cited By
Learning Hierarchical Semantic Image Manipulation through Structured
  Representations

Learning Hierarchical Semantic Image Manipulation through Structured Representations

22 August 2018
Seunghoon Hong
Xinchen Yan
Thomas E. Huang
Honglak Lee
    OCL
ArXivPDFHTML

Papers citing "Learning Hierarchical Semantic Image Manipulation through Structured Representations"

23 / 23 papers shown
Title
Semantic Object Accuracy for Generative Text-to-Image Synthesis
Semantic Object Accuracy for Generative Text-to-Image Synthesis
Tobias Hinz
Stefan Heinrich
S. Wermter
EGVM
40
158
0
29 Oct 2019
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
100
13,005
0
07 Feb 2018
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis
Seunghoon Hong
Dingdong Yang
Jongwook Choi
Honglak Lee
EGVM
78
336
0
16 Jan 2018
High-Resolution Image Synthesis and Semantic Manipulation with
  Conditional GANs
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang
Ming-Yuan Liu
Jun-Yan Zhu
Andrew Tao
Jan Kautz
Bryan Catanzaro
SSeg
132
3,926
0
30 Nov 2017
Photographic Image Synthesis with Cascaded Refinement Networks
Photographic Image Synthesis with Cascaded Refinement Networks
Qifeng Chen
V. Koltun
56
947
0
28 Jul 2017
TextureGAN: Controlling Deep Image Synthesis with Texture Patches
TextureGAN: Controlling Deep Image Synthesis with Texture Patches
Wenqi Xian
Patsorn Sangkloy
Varun Agrawal
Amit Raj
Jingwan Lu
Chen Fang
Feng Yu
James Hays
GAN
3DV
33
279
0
09 Jun 2017
Generative Face Completion
Generative Face Completion
Yijun Li
Sifei Liu
Jimei Yang
Ming-Hsuan Yang
CVBM
3DH
49
600
0
19 Apr 2017
LR-GAN: Layered Recursive Generative Adversarial Networks for Image
  Generation
LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation
Jianwei Yang
A. Kannan
Dhruv Batra
Devi Parikh
GAN
53
240
0
05 Mar 2017
Unsupervised Image-to-Image Translation Networks
Unsupervised Image-to-Image Translation Networks
Ming-Yuan Liu
Thomas Breuel
Jan Kautz
VLM
117
2,730
0
02 Mar 2017
Scribbler: Controlling Deep Image Synthesis with Sketch and Color
Scribbler: Controlling Deep Image Synthesis with Sketch and Color
Patsorn Sangkloy
Jingwan Lu
Chen Fang
Feng Yu
James Hays
GAN
DiffM
46
499
0
02 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
274
19,560
0
21 Nov 2016
Semi-Supervised Learning with Context-Conditional Generative Adversarial
  Networks
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks
Emily L. Denton
Sam Gross
Rob Fergus
GAN
38
151
0
19 Nov 2016
Learning What and Where to Draw
Learning What and Where to Draw
Scott E. Reed
Zeynep Akata
S. Mohan
Samuel Tenka
Bernt Schiele
Honglak Lee
DRL
GAN
45
618
0
08 Oct 2016
Generative Visual Manipulation on the Natural Image Manifold
Generative Visual Manipulation on the Natural Image Manifold
Jun-Yan Zhu
Philipp Krahenbuhl
Eli Shechtman
Alexei A. Efros
GAN
51
1,395
0
12 Sep 2016
Generating Videos with Scene Dynamics
Generating Videos with Scene Dynamics
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
GAN
VGen
135
1,464
0
08 Sep 2016
Semantic Image Inpainting with Deep Generative Models
Semantic Image Inpainting with Deep Generative Models
Raymond A. Yeh
Chen Chen
Teck-Yian Lim
Alex Schwing
M. Hasegawa-Johnson
Minh Do
GAN
VLM
65
1,171
0
26 Jul 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
36
5,277
0
25 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
543
11,540
0
06 Apr 2016
Attribute2Image: Conditional Image Generation from Visual Attributes
Attribute2Image: Conditional Image Generation from Visual Attributes
Xinchen Yan
Jimei Yang
Kihyuk Sohn
Honglak Lee
DRL
GAN
49
769
0
02 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
223
13,968
0
19 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
622
149,474
0
22 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
269
43,511
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
758
99,991
0
04 Sep 2014
1