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Style and Content Disentanglement in Generative Adversarial Networks

Style and Content Disentanglement in Generative Adversarial Networks

14 November 2018
Hadi Kazemi
Seyed Mehdi Iranmanesh
Nasser M. Nasrabadi
    GAN
    DRL
ArXivPDFHTML

Papers citing "Style and Content Disentanglement in Generative Adversarial Networks"

15 / 15 papers shown
Title
SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning
SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning
William Heyden
Habib Ullah
M. Salman Siddiqui
Fadi Al Machot
VLM
41
0
0
20 Dec 2023
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion
  Models
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models
Zhizhong Wang
Lei Zhao
Wei Xing
DiffM
27
120
0
15 Aug 2023
Towards General Game Representations: Decomposing Games Pixels into
  Content and Style
Towards General Game Representations: Decomposing Games Pixels into Content and Style
C. Trivedi
Konstantinos Makantasis
Antonios Liapis
Georgios N. Yannakakis
OCL
41
3
0
20 Jul 2023
CF-Font: Content Fusion for Few-shot Font Generation
CF-Font: Content Fusion for Few-shot Font Generation
Chi-Yin Wang
Min Zhou
T. Ge
Yuning Jiang
Hujun Bao
Weiwei Xu
16
41
0
24 Mar 2023
Style Equalization: Unsupervised Learning of Controllable Generative
  Sequence Models
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models
Jen-Hao Rick Chang
A. Shrivastava
H. Koppula
Xiaoshuai Zhang
Oncel Tuzel
DiffM
51
16
0
06 Oct 2021
StyleFusion: A Generative Model for Disentangling Spatial Segments
StyleFusion: A Generative Model for Disentangling Spatial Segments
Omer Kafri
Or Patashnik
Yuval Alaluf
Daniel Cohen-Or
26
37
0
15 Jul 2021
Where and What? Examining Interpretable Disentangled Representations
Where and What? Examining Interpretable Disentangled Representations
Xinqi Zhu
Chang Xu
Dacheng Tao
FAtt
DRL
51
38
0
07 Apr 2021
S2R-DepthNet: Learning a Generalizable Depth-specific Structural
  Representation
S2R-DepthNet: Learning a Generalizable Depth-specific Structural Representation
Xiaotian Chen
Yuwang Wang
Xuejin Chen
Wenjun Zeng
3DV
3DPC
MDE
31
54
0
02 Apr 2021
Learning disentangled representations via product manifold projection
Learning disentangled representations via product manifold projection
Marco Fumero
Luca Cosmo
Simone Melzi
Emanuele Rodolà
CoGe
DRL
18
22
0
02 Mar 2021
Mutual Information Maximization on Disentangled Representations for
  Differential Morph Detection
Mutual Information Maximization on Disentangled Representations for Differential Morph Detection
Sobhan Soleymani
Ali Dabouei
Fariborz Taherkhani
J. Dawson
Nasser M. Nasrabadi
27
27
0
02 Dec 2020
Swapping Autoencoder for Deep Image Manipulation
Swapping Autoencoder for Deep Image Manipulation
Taesung Park
Jun-Yan Zhu
Oliver Wang
Jingwan Lu
Eli Shechtman
Alexei A. Efros
Richard Y. Zhang
25
332
0
01 Jul 2020
Nested Scale Editing for Conditional Image Synthesis
Nested Scale Editing for Conditional Image Synthesis
Lingzhi Zhang
Jiancong Wang
Yinshuang Xu
Jie Min
Tarmily Wen
J. Gee
Jianbo Shi
DiffM
24
3
0
03 Jun 2020
Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning
Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning
Yue Gao
Yuan Guo
Zheng Lian
Yingmin Tang
Jianguo Xiao
GAN
38
100
0
11 Oct 2019
Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for
  Investigating Learned Representations
Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Investigating Learned Representations
J. Livezey
Ahyeon Hwang
Jacob Yeung
K. Bouchard
36
0
0
23 May 2019
A Learned Representation For Artistic Style
A Learned Representation For Artistic Style
Vincent Dumoulin
Jonathon Shlens
M. Kudlur
GAN
214
1,156
0
24 Oct 2016
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