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Texturize a GAN Using a Single Image

21 February 2023
Pengda Xiang
Sitao Xiang
Yajie Zhao
    GAN
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Papers citing "Texturize a GAN Using a Single Image"

19 / 19 papers shown
Title
Sketch Your Own GAN
Sketch Your Own GAN
Sheng-Yu Wang
David Bau
Jun-Yan Zhu
GAN
41
70
0
05 Aug 2021
Few-shot Image Generation via Cross-domain Correspondence
Few-shot Image Generation via Cross-domain Correspondence
Utkarsh Ojha
Yijun Li
Jingwan Lu
Alexei A. Efros
Yong Jae Lee
Eli Shechtman
Richard Y. Zhang
81
259
0
13 Apr 2021
Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality
  Artistic Style Transfer
Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer
Tianwei Lin
Zhuoqi Ma
Fu Li
Dongliang He
Xin Li
Errui Ding
N. Wang
Jie Li
Xinbo Gao
83
98
0
12 Apr 2021
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery
Or Patashnik
Zongze Wu
Eli Shechtman
Daniel Cohen-Or
Dani Lischinski
CLIP
VLM
62
1,204
0
31 Mar 2021
Few-shot Image Generation with Elastic Weight Consolidation
Few-shot Image Generation with Elastic Weight Consolidation
Yijun Li
Richard Y. Zhang
Jingwan Lu
Eli Shechtman
3DH
58
167
0
04 Dec 2020
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
Elad Richardson
Yuval Alaluf
Or Patashnik
Yotam Nitzan
Yaniv Azar
Stav Shapiro
Daniel Cohen-Or
97
1,103
0
03 Aug 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
73
334
0
01 Jul 2020
Differentiable Augmentation for Data-Efficient GAN Training
Differentiable Augmentation for Data-Efficient GAN Training
Shengyu Zhao
Zhijian Liu
Ji Lin
Jun-Yan Zhu
Song Han
74
603
0
18 Jun 2020
Training Generative Adversarial Networks with Limited Data
Training Generative Adversarial Networks with Limited Data
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
116
1,869
0
11 Jun 2020
MineGAN: effective knowledge transfer from GANs to target domains with
  few images
MineGAN: effective knowledge transfer from GANs to target domains with few images
Yaxing Wang
Abel Gonzalez-Garcia
David Berga
Luis Herranz
Fahad Shahbaz Khan
Joost van de Weijer
GAN
30
188
0
11 Dec 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
502
10,466
0
12 Dec 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDL
DRL
203
3,110
0
09 Jul 2018
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
Wei-Sheng Lai
Jia-Bin Huang
Narendra Ahuja
Ming-Hsuan Yang
SupR
107
2,435
0
12 Apr 2017
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial Training
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
72
1,800
0
22 Dec 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
366
8,999
0
10 Jun 2016
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
343
9,418
0
28 May 2015
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
297
43,511
0
17 Sep 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
308
15,825
0
12 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLM
ObjD
151
4,946
0
06 Oct 2013
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