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. 2111.01007
  4. Cited By
Projected GANs Converge Faster

Projected GANs Converge Faster

1 November 2021
Axel Sauer
Kashyap Chitta
Jens Muller
Andreas Geiger
ArXiv (abs)PDFHTML

Papers citing "Projected GANs Converge Faster"

50 / 74 papers shown
Title
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Sihyun Yu
Sangkyung Kwak
Huiwon Jang
Jongheon Jeong
Jonathan Huang
Jinwoo Shin
Saining Xie
OCL
157
102
0
09 Oct 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
274
22
0
28 Feb 2024
KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding
  in 2D and 3D
KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D
Yiyi Liao
Jun Xie
Andreas Geiger
3DV3DPC
84
590
0
28 Sep 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
271
7,958
0
11 May 2021
Enhancing Photorealism Enhancement
Enhancing Photorealism Enhancement
Stephan R. Richter
Hassan Abu Alhaija
V. Koltun
59
106
0
10 May 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
CLIPVLM
135
1,210
0
31 Mar 2021
Dual Contrastive Loss and Attention for GANs
Dual Contrastive Loss and Attention for GANs
Ning Yu
Guilin Liu
Aysegül Dündar
Andrew Tao
Bryan Catanzaro
Larry S. Davis
Mario Fritz
GAN
101
61
0
31 Mar 2021
Generative Adversarial Transformers
Generative Adversarial Transformers
Drew A. Hudson
C. L. Zitnick
ViT
97
181
0
01 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
996
29,871
0
26 Feb 2021
Counterfactual Generative Networks
Counterfactual Generative Networks
Axel Sauer
Andreas Geiger
OODBDLCML
90
127
0
15 Jan 2021
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot
  Image Synthesis
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
Bingchen Liu
Yizhe Zhu
Kunpeng Song
Ahmed Elgammal
238
239
0
12 Jan 2021
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
389
6,805
0
23 Dec 2020
Taming Transformers for High-Resolution Image Synthesis
Taming Transformers for High-Resolution Image Synthesis
Patrick Esser
Robin Rombach
Bjorn Ommer
ViT
133
3,004
0
17 Dec 2020
Few-Shot Adaptation of Generative Adversarial Networks
Few-Shot Adaptation of Generative Adversarial Networks
Esther Robb
Wen-Sheng Chu
Abhishek Kumar
Jia-Bin Huang
80
100
0
22 Oct 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
682
41,483
0
22 Oct 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
100
607
0
18 Jun 2020
Noise or Signal: The Role of Image Backgrounds in Object Recognition
Noise or Signal: The Role of Image Backgrounds in Object Recognition
Kai Y. Xiao
Logan Engstrom
Andrew Ilyas
Aleksander Madry
145
387
0
17 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
267
4,101
0
17 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations
VirTex: Learning Visual Representations from Textual Annotations
Karan Desai
Justin Johnson
SSLVLM
165
436
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
175
1,890
0
11 Jun 2020
Image Augmentations for GAN Training
Image Augmentations for GAN Training
Zhengli Zhao
Zizhao Zhang
Ting-Li Chen
Sameer Singh
Han Zhang
61
137
0
04 Jun 2020
Semantic Pyramid for Image Generation
Semantic Pyramid for Image Generation
Assaf Shocher
Yossi Gandelsman
Inbar Mosseri
Michal Yarom
Michal Irani
William T. Freeman
Tali Dekel
GAN
81
55
0
13 Mar 2020
A U-Net Based Discriminator for Generative Adversarial Networks
A U-Net Based Discriminator for Generative Adversarial Networks
Edgar Schönfeld
Bernt Schiele
Anna Khoreva
GAN
83
296
0
28 Feb 2020
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Sangwoo Mo
Minsu Cho
Jinwoo Shin
102
215
0
25 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
530
10,591
0
17 Feb 2020
Unbalanced GANs: Pre-training the Generator of Generative Adversarial
  Network using Variational Autoencoder
Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder
Hyung-Gi Ham
Tae Joon Jun
Daeyoung Kim
DRLGAN
62
21
0
06 Feb 2020
Big Transfer (BiT): General Visual Representation Learning
Big Transfer (BiT): General Visual Representation Learning
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
J. Puigcerver
Jessica Yung
Sylvain Gelly
N. Houlsby
MQ
288
1,211
0
24 Dec 2019
StarGAN v2: Diverse Image Synthesis for Multiple Domains
StarGAN v2: Diverse Image Synthesis for Multiple Domains
Yunjey Choi
Youngjung Uh
Jaejun Yoo
Jung-Woo Ha
3DH
131
1,756
0
04 Dec 2019
Analyzing and Improving the Image Quality of StyleGAN
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras
S. Laine
M. Aittala
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
323
5,829
0
03 Dec 2019
Semantic Bottleneck Scene Generation
Semantic Bottleneck Scene Generation
S. Azadi
Michael Tschannen
Eric Tzeng
Sylvain Gelly
Trevor Darrell
Mario Lucic
63
30
0
26 Nov 2019
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot
  Cross-dataset Transfer
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
René Ranftl
Katrin Lasinger
David Hafner
Konrad Schindler
V. Koltun
MDE
210
1,803
0
02 Jul 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
167
18,193
0
28 May 2019
Improved Precision and Recall Metric for Assessing Generative Models
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkaanniemi
Tero Karras
S. Laine
J. Lehtinen
Timo Aila
EGVM
105
865
0
15 Apr 2019
Learning Implicit Generative Models by Matching Perceptual Features
Learning Implicit Generative Models by Matching Perceptual Features
Cicero Nogueira dos Santos
Youssef Mroueh
Inkit Padhi
Pierre Dognin
GAN
70
28
0
04 Apr 2019
Semantic Image Synthesis with Spatially-Adaptive Normalization
Semantic Image Synthesis with Spatially-Adaptive Normalization
Taesung Park
Ming-Yuan Liu
Ting-Chun Wang
Jun-Yan Zhu
169
2,693
0
18 Mar 2019
Multi-objective training of Generative Adversarial Networks with
  multiple discriminators
Multi-objective training of Generative Adversarial Networks with multiple discriminators
Isabela Albuquerque
João Monteiro
T. Doan
Breandan Considine
T. Falk
Ioannis Mitliagkas
80
67
0
24 Jan 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
619
10,595
0
12 Dec 2018
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained
  Object Generation and Discovery
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery
Krishna Kumar Singh
Utkarsh Ojha
Yong Jae Lee
OCL
120
132
0
27 Nov 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
274
5,404
0
28 Sep 2018
Image Manipulation with Perceptual Discriminators
Image Manipulation with Perceptual Discriminators
Diana Sungatullina
Egor Zakharov
Dmitry Ulyanov
Victor Lempitsky
GAN
70
22
0
05 Sep 2018
On-line Adaptative Curriculum Learning for GANs
On-line Adaptative Curriculum Learning for GANs
T. Doan
João Monteiro
Isabela Albuquerque
Bogdan Mazoure
A. Durand
Joelle Pineau
R. Devon Hjelm
79
42
0
31 Jul 2018
A Large-Scale Study on Regularization and Normalization in GANs
A Large-Scale Study on Regularization and Normalization in GANs
Karol Kurach
Mario Lucic
Xiaohua Zhai
Marcin Michalski
Sylvain Gelly
AI4CE
91
156
0
12 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDLDRL
305
3,144
0
09 Jul 2018
Assessing Generative Models via Precision and Recall
Assessing Generative Models via Precision and Recall
Mehdi S. M. Sajjadi
Olivier Bachem
Mario Lucic
Olivier Bousquet
Sylvain Gelly
EGVM
95
584
0
31 May 2018
Do Better ImageNet Models Transfer Better?
Do Better ImageNet Models Transfer Better?
Simon Kornblith
Jonathon Shlens
Quoc V. Le
OODMLT
170
1,330
0
23 May 2018
Self-Attention Generative Adversarial Networks
Self-Attention Generative Adversarial Networks
Han Zhang
Ian Goodfellow
Dimitris N. Metaxas
Augustus Odena
GAN
151
3,732
0
21 May 2018
Transferring GANs: generating images from limited data
Transferring GANs: generating images from limited data
Yaxing Wang
Chenshen Wu
Luis Herranz
Joost van de Weijer
Abel Gonzalez-Garcia
Bogdan Raducanu
83
286
0
04 May 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
164
4,445
0
16 Feb 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
233
11,565
0
15 Feb 2018
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
84
1,468
0
13 Jan 2018
12
Next