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
ArXivPDFHTML

Papers citing "Projected GANs Converge Faster"

50 / 158 papers shown
Title
Enhancing Multiple Reliability Measures via Nuisance-extended
  Information Bottleneck
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck
Jongheon Jeong
Sihyun Yu
Hankook Lee
Jinwoo Shin
AAML
31
0
0
24 Mar 2023
NeRF-GAN Distillation for Efficient 3D-Aware Generation with
  Convolutions
NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions
Mohamad Shahbazi
Evangelos Ntavelis
A. Tonioni
Edo Collins
D. Paudel
Martin Danelljan
Luc Van Gool
20
6
0
22 Mar 2023
Polynomial Implicit Neural Representations For Large Diverse Datasets
Polynomial Implicit Neural Representations For Large Diverse Datasets
Rajhans Singh
Ankita Shukla
P. Turaga
AI4CE
17
24
0
20 Mar 2023
Scaling up GANs for Text-to-Image Synthesis
Scaling up GANs for Text-to-Image Synthesis
Minguk Kang
Jun-Yan Zhu
Richard Y. Zhang
Jaesik Park
Eli Shechtman
Sylvain Paris
Taesung Park
30
440
0
09 Mar 2023
AptSim2Real: Approximately-Paired Sim-to-Real Image Translation
AptSim2Real: Approximately-Paired Sim-to-Real Image Translation
Cha Zhang
A. Shrivastava
DiffM
13
2
0
09 Mar 2023
3D generation on ImageNet
3D generation on ImageNet
Ivan Skorokhodov
Aliaksandr Siarohin
Yinghao Xu
Jian Ren
Hsin-Ying Lee
Peter Wonka
Sergey Tulyakov
52
55
0
02 Mar 2023
New Insights for the Stability-Plasticity Dilemma in Online Continual
  Learning
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
Dahuin Jung
Dongjin Lee
Sunwon Hong
Hyemi Jang
Ho Bae
Sungroh Yoon
CLL
19
14
0
17 Feb 2023
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
Ming Tao
Bingkun Bao
Hao Tang
Changsheng Xu
DiffM
VLM
58
100
0
30 Jan 2023
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear
  Layer
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer
Yuhta Takida
Masaaki Imaizumi
Takashi Shibuya
Chieh-Hsin Lai
Toshimitsu Uesaka
Naoki Murata
Yuki Mitsufuji
GAN
11
11
0
30 Jan 2023
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale
  Text-to-Image Synthesis
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
Axel Sauer
Tero Karras
S. Laine
Andreas Geiger
Timo Aila
24
206
0
23 Jan 2023
Image Compression with Product Quantized Masked Image Modeling
Image Compression with Product Quantized Masked Image Modeling
Alaaeldin El-Nouby
Matthew Muckley
Karen Ullrich
Ivan Laptev
Jakob Verbeek
Hervé Jégou
MQ
12
31
0
14 Dec 2022
Structure-Guided Image Completion with Image-level and Object-level
  Semantic Discriminators
Structure-Guided Image Completion with Image-level and Object-level Semantic Discriminators
Haitian Zheng
Zhe-nan Lin
Jingwan Lu
Scott D. Cohen
Eli Shechtman
...
Jianming Zhang
Qing Liu
Yuqian Zhou
Sohrab Amirghodsi
Jiebo Luo
DiffM
15
1
0
13 Dec 2022
Multi-Concept Customization of Text-to-Image Diffusion
Multi-Concept Customization of Text-to-Image Diffusion
Nupur Kumari
Bin Zhang
Richard Y. Zhang
Eli Shechtman
Jun-Yan Zhu
19
821
0
08 Dec 2022
Visual Query Tuning: Towards Effective Usage of Intermediate
  Representations for Parameter and Memory Efficient Transfer Learning
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning
Cheng-Hao Tu
Zheda Mai
Wei-Lun Chao
17
42
0
06 Dec 2022
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
Peter Ebert Christensen
Vésteinn Snaebjarnarson
Andrea Dittadi
Serge J. Belongie
Sagie Benaim
AAML
12
1
0
17 Nov 2022
StyleNAT: Giving Each Head a New Perspective
StyleNAT: Giving Each Head a New Perspective
Steven Walton
Ali Hassani
Xingqian Xu
Zhangyang Wang
Humphrey Shi
ViT
18
22
0
10 Nov 2022
Distilling Representations from GAN Generator via Squeeze and Span
Distilling Representations from GAN Generator via Squeeze and Span
Yu Yang
Xiaotian Cheng
Chang-rui Liu
Hakan Bilen
Xiang Ji
GAN
21
0
0
06 Nov 2022
Recursive Reasoning in Minimax Games: A Level $k$ Gradient Play Method
Recursive Reasoning in Minimax Games: A Level kkk Gradient Play Method
Zichuan Liu
Lacra Pavel
LRM
24
2
0
29 Oct 2022
Towards the Detection of Diffusion Model Deepfakes
Towards the Detection of Diffusion Model Deepfakes
Jonas Ricker
Simon Damm
Thorsten Holz
Asja Fischer
DiffM
27
100
0
26 Oct 2022
MOVE: Unsupervised Movable Object Segmentation and Detection
MOVE: Unsupervised Movable Object Segmentation and Detection
Adam Bielski
Paolo Favaro
OCL
11
20
0
14 Oct 2022
FreGAN: Exploiting Frequency Components for Training GANs under Limited
  Data
FreGAN: Exploiting Frequency Components for Training GANs under Limited Data
Mengping Yang
Zhe Wang
Ziqiu Chi
Yanbing Zhang
4
32
0
11 Oct 2022
Content-Based Search for Deep Generative Models
Content-Based Search for Deep Generative Models
Daohan Lu
Sheng-Yu Wang
Nupur Kumari
Rohan Agarwal
Mia Tang
David Bau
Jun-Yan Zhu
DiffM
SyDa
30
5
0
06 Oct 2022
Improving GANs with A Dynamic Discriminator
Improving GANs with A Dynamic Discriminator
Ceyuan Yang
Yujun Shen
Yinghao Xu
Deli Zhao
Bo Dai
Bolei Zhou
TTA
50
23
0
20 Sep 2022
Bridging Implicit and Explicit Geometric Transformation for Single-Image
  View Synthesis
Bridging Implicit and Explicit Geometric Transformation for Single-Image View Synthesis
Byeongjun Park
Hyojun Go
Changick Kim
3DV
30
6
0
15 Sep 2022
Learning to Generate Realistic LiDAR Point Clouds
Learning to Generate Realistic LiDAR Point Clouds
Vlas Zyrianov
Xiyue Zhu
Shenlong Wang
3DPC
DiffM
74
57
0
08 Sep 2022
Exploiting Pre-trained Feature Networks for Generative Adversarial
  Networks in Audio-domain Loop Generation
Exploiting Pre-trained Feature Networks for Generative Adversarial Networks in Audio-domain Loop Generation
Yen-Tung Yeh
Bo-Yu Chen
Yi-Hsuan Yang
17
6
0
05 Sep 2022
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis
Wanshu Fan
Yen-Chun Chen
Dongdong Chen
Yu Cheng
Lu Yuan
Yu-Chiang Frank Wang
DiffM
15
90
0
29 Aug 2022
Vision-Language Matching for Text-to-Image Synthesis via Generative
  Adversarial Networks
Vision-Language Matching for Text-to-Image Synthesis via Generative Adversarial Networks
Qingrong Cheng
Keyu Wen
X. Gu
VLM
EGVM
24
16
0
20 Aug 2022
Demystifying Randomly Initialized Networks for Evaluating Generative
  Models
Demystifying Randomly Initialized Networks for Evaluating Generative Models
Junghyuk Lee
Jun-Hyuk Kim
Jong-Seok Lee
EGVM
22
0
0
19 Aug 2022
Musika! Fast Infinite Waveform Music Generation
Musika! Fast Infinite Waveform Music Generation
Marco Pasini
Jan Schluter
MGen
8
29
0
18 Aug 2022
Towards Generating Large Synthetic Phytoplankton Datasets for Efficient
  Monitoring of Harmful Algal Blooms
Towards Generating Large Synthetic Phytoplankton Datasets for Efficient Monitoring of Harmful Algal Blooms
Nitpreet Bamra
Vikram S. Voleti
A. Wong
Jason L. Deglint
13
3
0
03 Aug 2022
Rewriting Geometric Rules of a GAN
Rewriting Geometric Rules of a GAN
Sheng-Yu Wang
David Bau
Jun-Yan Zhu
25
35
0
28 Jul 2022
Generator Knows What Discriminator Should Learn in Unconditional GANs
Generator Knows What Discriminator Should Learn in Unconditional GANs
Gayoung Lee
Hyunsung Kim
Jae Hyun Kim
Seonghyeon Kim
Jung-Woo Ha
Yunjey Choi
17
13
0
27 Jul 2022
Novel Class Discovery without Forgetting
Novel Class Discovery without Forgetting
K. J. Joseph
S. Paul
Gaurav Aggarwal
Soma Biswas
Piyush Rai
Kai Han
V. Balasubramanian
CLL
29
43
0
21 Jul 2022
Unveiling the Latent Space Geometry of Push-Forward Generative Models
Unveiling the Latent Space Geometry of Push-Forward Generative Models
Thibaut Issenhuth
Ugo Tanielian
Jérémie Mary
David Picard
GAN
DRL
16
2
0
21 Jul 2022
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity
  in Data-Efficient GANs
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs
Ziqiang Li
Chaoyue Wang
Heliang Zheng
Jing Zhang
Bin Li
21
23
0
18 Jul 2022
The ArtBench Dataset: Benchmarking Generative Models with Artworks
The ArtBench Dataset: Benchmarking Generative Models with Artworks
Peiyuan Liao
Xiuyu Li
Xihui Liu
Kurt Keutzer
14
47
0
22 Jun 2022
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis
Minguk Kang
Joonghyuk Shin
Jaesik Park
EGVM
6
66
0
19 Jun 2022
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids
Katja Schwarz
Axel Sauer
Michael Niemeyer
Yiyi Liao
Andreas Geiger
21
145
0
15 Jun 2022
Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with
  Learned Morph Maps
Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps
Seung Wook Kim
Karsten Kreis
Daiqing Li
Antonio Torralba
Sanja Fidler
GAN
21
5
0
06 Jun 2022
Diffusion-GAN: Training GANs with Diffusion
Diffusion-GAN: Training GANs with Diffusion
Zhendong Wang
Huangjie Zheng
Pengcheng He
Weizhu Chen
Mingyuan Zhou
DiffM
21
218
0
05 Jun 2022
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
Liang Hou
Qi Cao
Yige Yuan
Songtao Zhao
Chongyang Ma
Siyuan Pan
Pengfei Wan
Xiaoshuang Li
Huawei Shen
Xueqi Cheng
11
7
0
31 May 2022
MontageGAN: Generation and Assembly of Multiple Components by GANs
MontageGAN: Generation and Assembly of Multiple Components by GANs
Chean Fei Shee
Seiichi Uchida
GAN
8
0
0
31 May 2022
Semi-Parametric Neural Image Synthesis
Semi-Parametric Neural Image Synthesis
A. Blattmann
Robin Rombach
Kaan Oktay
Jonas Muller
Bjorn Ommer
DiffM
23
28
0
25 Apr 2022
Spacing Loss for Discovering Novel Categories
Spacing Loss for Discovering Novel Categories
K. J. Joseph
S. Paul
Gaurav Aggarwal
Soma Biswas
Piyush Rai
Kai Han
V. Balasubramanian
11
14
0
22 Apr 2022
A Comprehensive Survey on Data-Efficient GANs in Image Generation
A Comprehensive Survey on Data-Efficient GANs in Image Generation
Ziqiang Li
Beihao Xia
Jing Zhang
Chaoyue Wang
Bin Li
16
33
0
18 Apr 2022
GATSBI: Generative Adversarial Training for Simulation-Based Inference
GATSBI: Generative Adversarial Training for Simulation-Based Inference
Poornima Ramesh
Jan-Matthis Lueckmann
Jan Boelts
Álvaro Tejero-Cantero
David S. Greenberg
P. J. Gonçalves
Jakob H. Macke
GAN
28
33
0
12 Mar 2022
The Role of ImageNet Classes in Fréchet Inception Distance
The Role of ImageNet Classes in Fréchet Inception Distance
Tuomas Kynkaanniemi
Tero Karras
M. Aittala
Timo Aila
J. Lehtinen
EGVM
VLM
16
200
0
11 Mar 2022
Polarity Sampling: Quality and Diversity Control of Pre-Trained
  Generative Networks via Singular Values
Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values
Ahmed Imtiaz Humayun
Randall Balestriero
Richard Baraniuk
6
31
0
03 Mar 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
Axel Sauer
Katja Schwarz
Andreas Geiger
182
487
0
01 Feb 2022
Previous
1234
Next