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. 1809.11096
  4. Cited By
Large Scale GAN Training for High Fidelity Natural Image Synthesis

Large Scale GAN Training for High Fidelity Natural Image Synthesis

28 September 2018
Andrew Brock
Jeff Donahue
Karen Simonyan
ArXivPDFHTML

Papers citing "Large Scale GAN Training for High Fidelity Natural Image Synthesis"

50 / 1,267 papers shown
Title
The Effect of Data Dimensionality on Neural Network Prunability
The Effect of Data Dimensionality on Neural Network Prunability
Zachary Ankner
Alex Renda
Gintare Karolina Dziugaite
Jonathan Frankle
Tian Jin
36
5
0
01 Dec 2022
Physics-Constrained Generative Adversarial Networks for 3D Turbulence
Physics-Constrained Generative Adversarial Networks for 3D Turbulence
D. Tretiak
A. Mohan
Daniel Livescu
GAN
AI4CE
PINN
37
2
0
01 Dec 2022
Intra-class Adaptive Augmentation with Neighbor Correction for Deep
  Metric Learning
Intra-class Adaptive Augmentation with Neighbor Correction for Deep Metric Learning
Zheren Fu
Zhendong Mao
Bo Hu
An-an Liu
Yongdong Zhang
28
5
0
29 Nov 2022
3inGAN: Learning a 3D Generative Model from Images of a Self-similar
  Scene
3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene
Animesh Karnewar
Oliver Wang
Tobias Ritschel
Niloy Mitra
32
12
0
27 Nov 2022
Traditional Classification Neural Networks are Good Generators: They are
  Competitive with DDPMs and GANs
Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs
Guangrun Wang
Philip Torr
33
8
0
27 Nov 2022
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with
  Limited Data
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data
Tiantian Fang
Ruoyu Sun
Alex Schwing
GAN
35
16
0
27 Nov 2022
Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation
  for Pretrained Deep Generative Model
Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model
Takehiro Aoshima
Takashi Matsubara
52
4
0
26 Nov 2022
DynaGAN: Dynamic Few-shot Adaptation of GANs to Multiple Domains
DynaGAN: Dynamic Few-shot Adaptation of GANs to Multiple Domains
S. Kim
Kyoungkook Kang
Geon-Yeong Kim
Seung-Hwan Baek
Sunghyun Cho
32
19
0
26 Nov 2022
Expanding Small-Scale Datasets with Guided Imagination
Expanding Small-Scale Datasets with Guided Imagination
Yifan Zhang
Daquan Zhou
Bryan Hooi
Kaixin Wang
Jiashi Feng
49
46
0
25 Nov 2022
Diffusion-SDF: Conditional Generative Modeling of Signed Distance
  Functions
Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions
Gene Chou
Yuval Bahat
Felix Heide
DiffM
33
114
0
24 Nov 2022
Fast Sampling of Diffusion Models via Operator Learning
Fast Sampling of Diffusion Models via Operator Learning
Hongkai Zheng
Weili Nie
Arash Vahdat
Kamyar Azizzadenesheli
Anima Anandkumar
DiffM
65
135
0
24 Nov 2022
CGOF++: Controllable 3D Face Synthesis with Conditional Generative
  Occupancy Fields
CGOF++: Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields
Keqiang Sun
Shangzhe Wu
Ning Zhang
Zhaoyang Huang
Quan Wang
Hongsheng Li
CVBM
32
52
0
23 Nov 2022
Latent Video Diffusion Models for High-Fidelity Long Video Generation
Latent Video Diffusion Models for High-Fidelity Long Video Generation
Yin-Yin He
Tianyu Yang
Yong Zhang
Ying Shan
Qifeng Chen
DiffM
VGen
24
206
0
23 Nov 2022
DiffDreamer: Towards Consistent Unsupervised Single-view Scene
  Extrapolation with Conditional Diffusion Models
DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models
Shengqu Cai
E. R. Chan
Songyou Peng
Mohamad Shahbazi
Anton Obukhov
Luc Van Gool
Gordon Wetzstein
DiffM
48
34
0
22 Nov 2022
Normalizing Flow with Variational Latent Representation
Normalizing Flow with Variational Latent Representation
Hanze Dong
Shizhe Diao
Weizhong Zhang
Tong Zhang
BDL
OOD
DRL
16
0
0
21 Nov 2022
DPD-fVAE: Synthetic Data Generation Using Federated Variational
  Autoencoders With Differentially-Private Decoder
DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder
Bjarne Pfitzner
B. Arnrich
FedML
38
19
0
21 Nov 2022
Exploring validation metrics for offline model-based optimisation with
  diffusion models
Exploring validation metrics for offline model-based optimisation with diffusion models
Christopher Beckham
Alexandre Piché
David Vazquez
Christopher Pal
OffRL
31
1
0
19 Nov 2022
Diagnostics for Deep Neural Networks with Automated Copy/Paste Attacks
Diagnostics for Deep Neural Networks with Automated Copy/Paste Attacks
Stephen Casper
K. Hariharan
Dylan Hadfield-Menell
AAML
31
11
0
18 Nov 2022
MAGE: MAsked Generative Encoder to Unify Representation Learning and
  Image Synthesis
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
Tianhong Li
Huiwen Chang
Shlok Kumar Mishra
Han Zhang
Dina Katabi
Dilip Krishnan
41
155
0
16 Nov 2022
Super-resolution Reconstruction of Single Image for Latent features
Super-resolution Reconstruction of Single Image for Latent features
Xin Wang
Jingkai Yan
Jingyong Cai
Jiankang Deng
Qin Qin
Yao Cheng
DiffM
42
9
0
16 Nov 2022
GLFF: Global and Local Feature Fusion for AI-synthesized Image Detection
GLFF: Global and Local Feature Fusion for AI-synthesized Image Detection
Yan Ju
Shan Jia
Jia Cai
Haiying Guan
Siwei Lyu
CVBM
53
25
0
16 Nov 2022
Versatile Diffusion: Text, Images and Variations All in One Diffusion
  Model
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
Xingqian Xu
Zhangyang Wang
Eric Zhang
Kai Wang
Humphrey Shi
DiffM
45
187
0
15 Nov 2022
ABCAS: Adaptive Bound Control of spectral norm as Automatic Stabilizer
ABCAS: Adaptive Bound Control of spectral norm as Automatic Stabilizer
Shota Hirose
Shiori Maki
Naoki Wada
Heming Sun
J. Katto
38
0
0
12 Nov 2022
3D-Aware Encoding for Style-based Neural Radiance Fields
3D-Aware Encoding for Style-based Neural Radiance Fields
Yu-Jhe Li
Tao Xu
Bichen Wu
N. Zheng
Xiaoliang Dai
Albert Pumarola
Peizhao Zhang
Peter Vajda
Kris Kitani
27
6
0
12 Nov 2022
Extending Temporal Data Augmentation for Video Action Recognition
Extending Temporal Data Augmentation for Video Action Recognition
Artjoms Gorpincenko
Michal Mackiewicz
ViT
34
4
0
09 Nov 2022
Generative Adversarial Networks for anonymous Acneic face dataset
  generation
Generative Adversarial Networks for anonymous Acneic face dataset generation
Hazem Zein
S. Chantaf
R. Fournier
A. Naït-Ali
CVBM
63
5
0
08 Nov 2022
Astronomia ex machina: a history, primer, and outlook on neural networks
  in astronomy
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy
Michael J. Smith
James E. Geach
40
32
0
07 Nov 2022
Few-shot Image Generation with Diffusion Models
Few-shot Image Generation with Diffusion Models
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
DiffM
45
20
0
07 Nov 2022
Learning to Annotate Part Segmentation with Gradient Matching
Learning to Annotate Part Segmentation with Gradient Matching
Yu Yang
Xiaotian Cheng
Hakan Bilen
Xiangyang Ji
GAN
37
7
0
06 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
38
0
0
06 Nov 2022
Disentangling Content and Motion for Text-Based Neural Video
  Manipulation
Disentangling Content and Motion for Text-Based Neural Video Manipulation
Levent Karacan
Tolga Kerimouglu
.Ismail .Inan
Tolga Birdal
Erkut Erdem
Aykut Erdem
37
1
0
05 Nov 2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion
  Models
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Zhekai Zhang
Ji Lin
Chenlin Meng
Stefano Ermon
Song Han
Jun-Yan Zhu
DiffM
42
45
0
03 Nov 2022
Haven't I Seen You Before? Assessing Identity Leakage in Synthetic
  Irises
Haven't I Seen You Before? Assessing Identity Leakage in Synthetic Irises
Patrick J. Tinsley
A. Czajka
Patrick Flynn
GAN
37
8
0
03 Nov 2022
On the detection of synthetic images generated by diffusion models
On the detection of synthetic images generated by diffusion models
Riccardo Corvi
D. Cozzolino
Giada Zingarini
Giovanni Poggi
Koki Nagano
L. Verdoliva
136
220
0
01 Nov 2022
Latent Space is Feature Space: Regularization Term for GANs Training on
  Limited Dataset
Latent Space is Feature Space: Regularization Term for GANs Training on Limited Dataset
P. Wang
GAN
34
0
0
28 Oct 2022
SSD: Towards Better Text-Image Consistency Metric in Text-to-Image
  Generation
SSD: Towards Better Text-Image Consistency Metric in Text-to-Image Generation
Zhaorui Tan
Xi Yang
Zihan Ye
Qiufeng Wang
Yuyao Yan
Anh Nguyen
Kaizhu Huang
EGVM
27
3
0
27 Oct 2022
Few-shot Image Generation via Masked Discrimination
Few-shot Image Generation via Masked Discrimination
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
32
12
0
27 Oct 2022
ScoreMix: A Scalable Augmentation Strategy for Training GANs with
  Limited Data
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data
Jie Cao
Mandi Luo
Junchi Yu
Mingmin Yang
Ran He
40
4
0
27 Oct 2022
Synthetic Data Supervised Salient Object Detection
Synthetic Data Supervised Salient Object Detection
Zhenyu Wu
Lin Wang
Wei Wang
Tengfei Shi
Chenglizhao Chen
Aimin Hao
Shuo Li
39
22
0
25 Oct 2022
GAN-based Facial Attribute Manipulation
GAN-based Facial Attribute Manipulation
Yunfan Liu
Qi Li
Qiyao Deng
Zhen Sun
Mingcong Yang
CVBM
57
30
0
23 Oct 2022
PoseGPT: Quantization-based 3D Human Motion Generation and Forecasting
PoseGPT: Quantization-based 3D Human Motion Generation and Forecasting
Thomas Lucas
Fabien Baradel
Philippe Weinzaepfel
Grégory Rogez
22
70
0
19 Oct 2022
FaceDancer: Pose- and Occlusion-Aware High Fidelity Face Swapping
FaceDancer: Pose- and Occlusion-Aware High Fidelity Face Swapping
Felix Rosberg
E. Aksoy
F. Alonso-Fernandez
Cristofer Englund
CVBM
36
28
0
19 Oct 2022
Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for
  Text-to-Image Generation
Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation
Rui Li
Weihua Li
Yi Yang
Hanyu Wei
Jianhua Jiang
Quan-wei Bai
DiffM
32
11
0
18 Oct 2022
Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion
  Probabilistic Model and Transfer Learning Based Approach
Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach
Dong Chen
Xinda Qi
Yu Zheng
Yuzhen Lu
Zhao Li
DiffM
26
15
0
18 Oct 2022
Is synthetic data from generative models ready for image recognition?
Is synthetic data from generative models ready for image recognition?
Ruifei He
Shuyang Sun
Xin Yu
Chuhui Xue
Wenqing Zhang
Philip Torr
Song Bai
Xiaojuan Qi
55
290
0
14 Oct 2022
Self-Guided Diffusion Models
Self-Guided Diffusion Models
Vincent Tao Hu
David W. Zhang
Yuki M. Asano
Gertjan J. Burghouts
Cees G. M. Snoek
39
33
0
12 Oct 2022
Controllable Radiance Fields for Dynamic Face Synthesis
Controllable Radiance Fields for Dynamic Face Synthesis
Peiye Zhuang
Liqian Ma
Oluwasanmi Koyejo
Alex Schwing
CVBM
3DH
18
11
0
11 Oct 2022
Unifying Diffusion Models' Latent Space, with Applications to
  CycleDiffusion and Guidance
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance
Chen Henry Wu
Fernando de la Torre
DiffM
41
67
0
11 Oct 2022
Finding the global semantic representation in GAN through Frechet Mean
Finding the global semantic representation in GAN through Frechet Mean
Jaewoong Choi
Geonho Hwang
Hyunsoo Cho
Myung-joo Kang
GAN
DRL
32
2
0
11 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers
GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn
Arash Vahdat
Karsten Kreis
DiffM
54
105
0
11 Oct 2022
Previous
123...789...242526
Next