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Controllable Style Transfer via Test-time Training of Implicit Neural
  Representation

Controllable Style Transfer via Test-time Training of Implicit Neural Representation

14 October 2022
Sunwoo Kim
Youngjo Min
Younghun Jung
Seung Wook Kim
ArXivPDFHTML

Papers citing "Controllable Style Transfer via Test-time Training of Implicit Neural Representation"

41 / 41 papers shown
Title
Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning
Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning
Yuxin Zhang
Fan Tang
Weiming Dong
Haibin Huang
Chongyang Ma
Tong-Yee Lee
Changsheng Xu
119
159
0
19 May 2022
Deep Translation Prior: Test-time Training for Photorealistic Style
  Transfer
Deep Translation Prior: Test-time Training for Photorealistic Style Transfer
Sunwoo Kim
Soohyun Kim
Seungryong Kim
47
13
0
12 Dec 2021
AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer
AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer
Songhua Liu
Tianwei Lin
Dongliang He
Fu Li
Meiling Wang
Xin Li
Zhengxing Sun
Qian Li
Errui Ding
133
306
0
08 Aug 2021
SinIR: Efficient General Image Manipulation with Single Image
  Reconstruction
SinIR: Efficient General Image Manipulation with Single Image Reconstruction
Jihyeong Yoo
Qifeng Chen
52
23
0
14 Jun 2021
Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance
  Normalization
Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization
Zhe Chen
Wenhai Wang
Enze Xie
Tong Lu
Ping Luo
AI4TS
43
26
0
22 Mar 2021
Learning Continuous Image Representation with Local Implicit Image
  Function
Learning Continuous Image Representation with Local Implicit Image Function
Yinbo Chen
Sifei Liu
Xiaolong Wang
SSL
SupR
CLL
84
675
0
16 Dec 2020
Adversarial Generation of Continuous Images
Adversarial Generation of Continuous Images
Ivan Skorokhodov
Savva Ignatyev
Mohamed Elhoseiny
GAN
55
174
0
24 Nov 2020
Fourier Features Let Networks Learn High Frequency Functions in Low
  Dimensional Domains
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik
Pratul P. Srinivasan
B. Mildenhall
Sara Fridovich-Keil
N. Raghavan
Utkarsh Singhal
R. Ramamoorthi
Jonathan T. Barron
Ren Ng
116
2,414
0
18 Jun 2020
Implicit Neural Representations with Periodic Activation Functions
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann
Julien N. P. Martel
Alexander W. Bergman
David B. Lindell
Gordon Wetzstein
AI4TS
125
2,548
0
17 Jun 2020
Exploiting Deep Generative Prior for Versatile Image Restoration and
  Manipulation
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
Xingang Pan
Xiaohang Zhan
Bo Dai
Dahua Lin
Chen Change Loy
Ping Luo
DiffM
76
361
0
30 Mar 2020
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D
  Reconstruction
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction
Rohan Chabra
J. E. Lenssen
Eddy Ilg
Tanner Schmidt
Julian Straub
S. Lovegrove
Richard Newcombe
70
464
0
24 Mar 2020
Local Implicit Grid Representations for 3D Scenes
Local Implicit Grid Representations for 3D Scenes
C. Jiang
Avneesh Sud
A. Makadia
Jingwei Huang
Matthias Nießner
Thomas Funkhouser
3DPC
299
561
0
19 Mar 2020
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
B. Mildenhall
Pratul P. Srinivasan
Matthew Tancik
Jonathan T. Barron
R. Ramamoorthi
Ren Ng
124
2,595
0
19 Mar 2020
Convolutional Occupancy Networks
Convolutional Occupancy Networks
Songyou Peng
Michael Niemeyer
L. Mescheder
Marc Pollefeys
Andreas Geiger
3DV
AI4CE
342
984
0
10 Mar 2020
Implicit Geometric Regularization for Learning Shapes
Implicit Geometric Regularization for Learning Shapes
Amos Gropp
Lior Yariv
Niv Haim
Matan Atzmon
Y. Lipman
AI4CE
106
858
0
24 Feb 2020
SAL: Sign Agnostic Learning of Shapes from Raw Data
SAL: Sign Agnostic Learning of Shapes from Raw Data
Matan Atzmon
Y. Lipman
3DPC
FedML
132
511
0
23 Nov 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
3DPC
3DV
151
1,279
0
04 Jun 2019
Style Transfer by Relaxed Optimal Transport and Self-Similarity
Style Transfer by Relaxed Optimal Transport and Self-Similarity
Nicholas I. Kolkin
Jason Salavon
Gregory Shakhnarovich
73
283
0
29 Apr 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape
  Representation
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
3DV
131
3,683
0
16 Jan 2019
Learning Implicit Fields for Generative Shape Modeling
Learning Implicit Fields for Generative Shape Modeling
Zhiqin Chen
Hao Zhang
AI4CE
3DV
142
1,631
0
06 Dec 2018
Arbitrary Style Transfer with Style-Attentional Networks
Arbitrary Style Transfer with Style-Attentional Networks
D. Park
K. Lee
65
381
0
06 Dec 2018
Uncorrelated Feature Encoding for Faster Image Style Transfer
Uncorrelated Feature Encoding for Faster Image Style Transfer
Minseong Kim
Jongju Shin
Myung-Cheol Roh
Hyun-Chul Choi
37
16
0
04 Jul 2018
Arbitrary Style Transfer with Deep Feature Reshuffle
Arbitrary Style Transfer with Deep Feature Reshuffle
Shuyang Gu
Congliang Chen
Jing Liao
Lu Yuan
OOD
97
187
0
10 May 2018
The Contextual Loss for Image Transformation with Non-Aligned Data
The Contextual Loss for Image Transformation with Non-Aligned Data
Roey Mechrez
Itamar Talmi
Lihi Zelnik-Manor
157
387
0
06 Mar 2018
A Closed-form Solution to Photorealistic Image Stylization
A Closed-form Solution to Photorealistic Image Stylization
Yijun Li
Ming-Yuan Liu
Xueting Li
Ming-Hsuan Yang
Jan Kautz
57
408
0
19 Feb 2018
Universal Style Transfer via Feature Transforms
Universal Style Transfer via Feature Transforms
Yijun Li
Chen Fang
Jimei Yang
Zhaowen Wang
Xin Lu
Ming-Hsuan Yang
DiffM
103
989
0
23 May 2017
Arbitrary Style Transfer in Real-time with Adaptive Instance
  Normalization
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Xun Huang
Serge J. Belongie
OOD
177
4,359
0
20 Mar 2017
Diversified Texture Synthesis with Feed-forward Networks
Diversified Texture Synthesis with Feed-forward Networks
Yijun Li
Chen Fang
Jimei Yang
Zhaowen Wang
Xin Lu
Ming-Hsuan Yang
42
268
0
05 Mar 2017
Stable and Controllable Neural Texture Synthesis and Style Transfer
  Using Histogram Losses
Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram Losses
E. Risser
Pierre Wilmot
Connelly Barnes
92
248
0
31 Jan 2017
Improved Texture Networks: Maximizing Quality and Diversity in
  Feed-forward Stylization and Texture Synthesis
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
OOD
82
795
0
09 Jan 2017
Demystifying Neural Style Transfer
Demystifying Neural Style Transfer
Yanghao Li
Naiyan Wang
Jiaying Liu
Xiaodi Hou
74
521
0
04 Jan 2017
Fast Patch-based Style Transfer of Arbitrary Style
Fast Patch-based Style Transfer of Arbitrary Style
T. Chen
Mark Schmidt
90
378
0
13 Dec 2016
Controlling Perceptual Factors in Neural Style Transfer
Controlling Perceptual Factors in Neural Style Transfer
Leon A. Gatys
Alexander S. Ecker
Matthias Bethge
Aaron Hertzmann
Eli Shechtman
34
464
0
23 Nov 2016
A Learned Representation For Artistic Style
A Learned Representation For Artistic Style
Vincent Dumoulin
Jonathon Shlens
M. Kudlur
GAN
295
1,163
0
24 Oct 2016
Instance Normalization: The Missing Ingredient for Fast Stylization
Instance Normalization: The Missing Ingredient for Fast Stylization
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
OOD
174
3,707
0
27 Jul 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
232
10,247
0
27 Mar 2016
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Dmitry Ulyanov
V. Lebedev
Andrea Vedaldi
Victor Lempitsky
3DH
56
947
0
10 Mar 2016
Combining Markov Random Fields and Convolutional Neural Networks for
  Image Synthesis
Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis
Chuan Li
Michael Wand
75
769
0
18 Jan 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 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
1.6K
100,348
0
04 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
413
43,638
0
01 May 2014
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