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A Style-Based Generator Architecture for Generative Adversarial Networks

A Style-Based Generator Architecture for Generative Adversarial Networks

12 December 2018
Tero Karras
S. Laine
Timo Aila
ArXivPDFHTML

Papers citing "A Style-Based Generator Architecture for Generative Adversarial Networks"

50 / 5,413 papers shown
Title
Towards a Neural Graphics Pipeline for Controllable Image Generation
Towards a Neural Graphics Pipeline for Controllable Image Generation
Xuelin Chen
Daniel Cohen-Or
Baoquan Chen
Niloy J. Mitra
22
7
0
18 Jun 2020
Learning High-Resolution Domain-Specific Representations with a GAN
  Generator
Learning High-Resolution Domain-Specific Representations with a GAN Generator
Danil Galeev
Konstantin Sofiiuk
D. Rukhovich
Mikhail Romanov
O. Barinova
Anton Konushin
GAN
39
15
0
18 Jun 2020
High-Fidelity Generative Image Compression
High-Fidelity Generative Image Compression
Fabian Mentzer
G. Toderici
Michael Tschannen
E. Agustsson
57
463
0
17 Jun 2020
Adversarial Defense by Latent Style Transformations
Adversarial Defense by Latent Style Transformations
Shuo Wang
Surya Nepal
A. Abuadbba
Carsten Rudolph
M. Grobler
AAML
25
11
0
17 Jun 2020
Visual Chirality
Visual Chirality
Zhiqiu Lin
Jin Sun
Abe Davis
Noah Snavely
10
30
0
16 Jun 2020
AlphaGAN: Fully Differentiable Architecture Search for Generative
  Adversarial Networks
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks
Yuesong Tian
Li Shen
Li Shen
Guinan Su
Zhifeng Li
Wei Liu
GAN
36
32
0
16 Jun 2020
Improved Techniques for Training Score-Based Generative Models
Improved Techniques for Training Score-Based Generative Models
Yang Song
Stefano Ermon
DiffM
51
1,124
0
16 Jun 2020
CNN Acceleration by Low-rank Approximation with Quantized Factors
CNN Acceleration by Low-rank Approximation with Quantized Factors
Nikolay Kozyrskiy
Anh-Huy Phan
MQ
33
3
0
16 Jun 2020
Globally Injective ReLU Networks
Globally Injective ReLU Networks
Michael Puthawala
K. Kothari
Matti Lassas
Ivan Dokmanić
Maarten V. de Hoop
29
26
0
15 Jun 2020
Generating Master Faces for Use in Performing Wolf Attacks on Face
  Recognition Systems
Generating Master Faces for Use in Performing Wolf Attacks on Face Recognition Systems
H. Nguyen
Junichi Yamagishi
Isao Echizen
S´ebastien Marcel
AAML
CVBM
27
25
0
15 Jun 2020
Self-Supervised Domain Mismatch Estimation for Autonomous Perception
Self-Supervised Domain Mismatch Estimation for Autonomous Perception
Jonas Löhdefink
Justin Fehrling
Marvin Klingner
Fabian Hüger
Peter Schlicht
Nico M. Schmidt
Tim Fingscheidt
13
15
0
15 Jun 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
57
1,588
0
15 Jun 2020
PCAAE: Principal Component Analysis Autoencoder for organising the
  latent space of generative networks
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks
Chi-Hieu Pham
Saïd Ladjal
A. Newson
DRL
38
31
0
14 Jun 2020
2D Image Relighting with Image-to-Image Translation
2D Image Relighting with Image-to-Image Translation
Paul Gafton
E. Maraz
11
13
0
14 Jun 2020
Structure by Architecture: Structured Representations without
  Regularization
Structure by Architecture: Structured Representations without Regularization
Felix Leeb
Giulia Lanzillotta
Yashas Annadani
M. Besserve
Stefan Bauer
Bernhard Schölkopf
OOD
CML
51
8
0
14 Jun 2020
Convolutional Generation of Textured 3D Meshes
Convolutional Generation of Textured 3D Meshes
Dario Pavllo
Graham Spinks
Thomas Hofmann
Marie-Francine Moens
Aurelien Lucchi
19
62
0
13 Jun 2020
DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms
DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms
Hua Qi
Qing Guo
Felix Juefei Xu
Xiaofei Xie
Lei Ma
Wei Feng
Yang Liu
Jianjun Zhao
CVBM
45
198
0
13 Jun 2020
Faces à la Carte: Text-to-Face Generation via Attribute
  Disentanglement
Faces à la Carte: Text-to-Face Generation via Attribute Disentanglement
Tianren Wang
Teng Zhang
Brian C. Lovell
CVBM
29
35
0
13 Jun 2020
GAN Memory with No Forgetting
GAN Memory with No Forgetting
Yulai Cong
Miaoyun Zhao
Jianqiao Li
Sijia Wang
Lawrence Carin
CLL
15
117
0
13 Jun 2020
FakePolisher: Making DeepFakes More Detection-Evasive by Shallow
  Reconstruction
FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction
Yihao Huang
Felix Juefei Xu
Run Wang
Qing Guo
Lei Ma
Xiaofei Xie
Jianwen Li
Weikai Miao
Yang Liu
G. Pu
32
70
0
13 Jun 2020
The DeepFake Detection Challenge (DFDC) Dataset
The DeepFake Detection Challenge (DFDC) Dataset
Brian Dolhansky
Joanna Bitton
Ben Pflaum
Jikuo Lu
Russ Howes
Menglin Wang
Cristian Canton Ferrer
PICV
14
242
0
12 Jun 2020
Auto-Encoding for Shared Cross Domain Feature Representation and
  Image-to-Image Translation
Auto-Encoding for Shared Cross Domain Feature Representation and Image-to-Image Translation
S. Pal
20
0
0
11 Jun 2020
Conditional Sampling with Monotone GANs: from Generative Models to
  Likelihood-Free Inference
Conditional Sampling with Monotone GANs: from Generative Models to Likelihood-Free Inference
Ricardo Baptista
Bamdad Hosseini
Nikola B. Kovachki
Youssef Marzouk
OT
GAN
43
24
0
11 Jun 2020
Cumulant GAN
Cumulant GAN
Yannis Pantazis
D. Paul
M. Fasoulakis
Y. Stylianou
Markos A. Katsoulakis
GAN
24
18
0
11 Jun 2020
MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative
  Adversarial Network
MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network
Jiaze Sun
Binod Bhattarai
Tae-Kyun Kim
GAN
25
10
0
11 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
90
1,859
0
11 Jun 2020
Rethinking the Truly Unsupervised Image-to-Image Translation
Rethinking the Truly Unsupervised Image-to-Image Translation
Kyungjune Baek
Yunjey Choi
Youngjung Uh
Jaejun Yoo
Hyunjung Shim
VLM
LRM
24
103
0
11 Jun 2020
On Noise Injection in Generative Adversarial Networks
On Noise Injection in Generative Adversarial Networks
Ruili Feng
Deli Zhao
Zhengjun Zha
GAN
23
32
0
10 Jun 2020
Speech Fusion to Face: Bridging the Gap Between Human's Vocal
  Characteristics and Facial Imaging
Speech Fusion to Face: Bridging the Gap Between Human's Vocal Characteristics and Facial Imaging
Yeqi Bai
Tao Ma
Lipo Wang
Zhenjie Zhang
CVBM
12
9
0
10 Jun 2020
Deep generative models for musical audio synthesis
Deep generative models for musical audio synthesis
M. Huzaifah
L. Wyse
29
20
0
10 Jun 2020
Low Distortion Block-Resampling with Spatially Stochastic Networks
Low Distortion Block-Resampling with Spatially Stochastic Networks
S. J. Hong
Martín Arjovsky
Darryl Barnhart
Ian Thompson
27
8
0
09 Jun 2020
On Data Augmentation for GAN Training
On Data Augmentation for GAN Training
Ngoc-Trung Tran
Viet-Hung Tran
Ngoc-Bao Nguyen
Trung-Kien Nguyen
Ngai-man Cheung
MedIm
18
36
0
09 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and
  Training
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
Abdul Jabbar
Xi Li
Bourahla Omar
25
266
0
09 Jun 2020
Adversarial Feature Desensitization
Adversarial Feature Desensitization
P. Bashivan
Reza Bayat
Adam Ibrahim
Kartik Ahuja
Mojtaba Faramarzi
Touraj Laleh
Blake A. Richards
Irina Rish
AAML
19
21
0
08 Jun 2020
Learning disconnected manifolds: a no GANs land
Learning disconnected manifolds: a no GANs land
Ugo Tanielian
Thibaut Issenhuth
Elvis Dohmatob
Jérémie Mary
25
35
0
08 Jun 2020
Realistic text replacement with non-uniform style conditioning
Realistic text replacement with non-uniform style conditioning
Arseny Nerinovsky
Igor Buzhinsky
Andrey Filchenkov
27
0
0
07 Jun 2020
Enhancing Facial Data Diversity with Style-based Face Aging
Enhancing Facial Data Diversity with Style-based Face Aging
Markos Georgopoulos
James Oldfield
M. Nicolaou
Yannis Panagakis
Maja Pantic
CVBM
21
11
0
06 Jun 2020
Evaluating the Disentanglement of Deep Generative Models through
  Manifold Topology
Evaluating the Disentanglement of Deep Generative Models through Manifold Topology
Sharon Zhou
E. Zelikman
F. Lu
A. Ng
Gunnar Carlsson
Stefano Ermon
DRL
24
27
0
05 Jun 2020
Learning Neural Light Transport
Learning Neural Light Transport
Paul Sanzenbacher
L. Mescheder
Andreas Geiger
27
6
0
05 Jun 2020
Structure preserving deep learning
Structure preserving deep learning
E. Celledoni
Matthias Joachim Ehrhardt
Christian Etmann
R. McLachlan
B. Owren
Carola-Bibiane Schönlieb
Ferdia Sherry
AI4CE
17
44
0
05 Jun 2020
GAN-Based Facial Attractiveness Enhancement
GAN-Based Facial Attractiveness Enhancement
Yuhongze Zhou
Qinjie Xiao
CVBM
GAN
20
6
0
04 Jun 2020
Image Augmentations for GAN Training
Image Augmentations for GAN Training
Zhengli Zhao
Zizhao Zhang
Ting-Li Chen
Sameer Singh
Han Zhang
24
137
0
04 Jun 2020
Least $k$th-Order and Rényi Generative Adversarial Networks
Least kkkth-Order and Rényi Generative Adversarial Networks
Himesh Bhatia
William Paul
F. Alajaji
Bahman Gharesifard
Philippe Burlina
GAN
22
8
0
03 Jun 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
26
3
0
03 Jun 2020
Deep Generation of Face Images from Sketches
Deep Generation of Face Images from Sketches
Shu-Yu Chen
Wanchao Su
Lin Gao
Shi-hong Xia
Hongbo Fu
CVBM
3DH
3DV
24
86
0
01 Jun 2020
High-Fidelity Audio Generation and Representation Learning with Guided
  Adversarial Autoencoder
High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder
Kazi Nazmul Haque
R. Rana
Björn W Schuller
DRL
31
12
0
01 Jun 2020
Using Generative Models for Pediatric wbMRI
Using Generative Models for Pediatric wbMRI
Alex Chang
Vinith Suriyakumar
Abhishek Moturu
Nipaporn Tewattanarat
A. Doria
Anna Goldenberg
MedIm
6
7
0
01 Jun 2020
Exploring Model Robustness with Adaptive Networks and Improved
  Adversarial Training
Exploring Model Robustness with Adaptive Networks and Improved Adversarial Training
Zheng Xu
Ali Shafahi
Tom Goldstein
AAML
27
2
0
30 May 2020
Learning stochastic object models from medical imaging measurements
  using Progressively-Growing AmbientGANs
Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs
Weimin Zhou
Sayantan Bhadra
F. Brooks
Hua Li
M. Anastasio
MedIm
27
5
0
29 May 2020
TIME: Text and Image Mutual-Translation Adversarial Networks
TIME: Text and Image Mutual-Translation Adversarial Networks
Bingchen Liu
Kunpeng Song
Yizhe Zhu
Gerard de Melo
Ahmed Elgammal
16
30
0
27 May 2020
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