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Improved Techniques for Training GANs

Improved Techniques for Training GANs

10 June 2016
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
    GAN
ArXiv (abs)PDFHTML

Papers citing "Improved Techniques for Training GANs"

50 / 4,102 papers shown
Title
Generative Image Inpainting with Segmentation Confusion Adversarial
  Training and Contrastive Learning
Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning
Zhiwen Zuo
Lei Zhao
Ailin Li
Zhizhong Wang
Zhanjie Zhang
Jiafu Chen
Wei Xing
Dongming Lu
86
24
0
23 Mar 2023
PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360$^{\circ}$
PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360∘^{\circ}∘
Sizhe An
Hongyi Xu
Yichun Shi
Guoxian Song
Ümit Y. Ogras
Linjie Luo
3DH
131
78
0
23 Mar 2023
Synthetic Health-related Longitudinal Data with Mixed-type Variables
  Generated using Diffusion Models
Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models
N. Kuo
Louisa R Jorm
S. Barbieri
DiffM
75
13
0
22 Mar 2023
MAGVLT: Masked Generative Vision-and-Language Transformer
MAGVLT: Masked Generative Vision-and-Language Transformer
Sungwoong Kim
DaeJin Jo
Donghoon Lee
Jongmin Kim
VLM
58
12
0
21 Mar 2023
Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models
Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models
Lukas Höllein
Ang Cao
Andrew Owens
Justin Johnson
Matthias Nießner
DiffM
130
182
0
21 Mar 2023
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation
  with Question Answering
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering
Yushi Hu
Benlin Liu
Jungo Kasai
Yizhong Wang
Mari Ostendorf
Ranjay Krishna
Noah A. Smith
EGVM
87
239
0
21 Mar 2023
On the link between generative semi-supervised learning and generative
  open-set recognition
On the link between generative semi-supervised learning and generative open-set recognition
E. Engelbrecht
Johan A. du Preez
GAN
69
2
0
21 Mar 2023
CoopInit: Initializing Generative Adversarial Networks via Cooperative
  Learning
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning
Yang Zhao
Jianwen Xie
Ping Li
GAN
115
3
0
21 Mar 2023
Automatic Measures for Evaluating Generative Design Methods for
  Architects
Automatic Measures for Evaluating Generative Design Methods for Architects
Eric Yeh
Briland Hitaj
Vidyasagar Sadhu
Anirban Roy
Takuma Nakabayashi
Yoshito Tsuji
EGVM3DV
28
0
0
20 Mar 2023
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for
  Image Restoration
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration
M. Delbracio
P. Milanfar
DiffM
127
122
0
20 Mar 2023
Polynomial Implicit Neural Representations For Large Diverse Datasets
Polynomial Implicit Neural Representations For Large Diverse Datasets
Rajhans Singh
Ankita Shukla
Pavan Turaga
AI4CE
84
24
0
20 Mar 2023
Towards End-to-End Generative Modeling of Long Videos with
  Memory-Efficient Bidirectional Transformers
Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers
Jaehoon Yoo
Semin Kim
Doyup Lee
Chiheon Kim
Seunghoon Hong
77
3
0
20 Mar 2023
Less is More: Unsupervised Mask-guided Annotated CT Image Synthesis with
  Minimum Manual Segmentations
Less is More: Unsupervised Mask-guided Annotated CT Image Synthesis with Minimum Manual Segmentations
Xiaodan Xing
G. Papanastasiou
Simon Walsh
Guang Yang
DiffMMedIm
72
10
0
19 Mar 2023
Elastic Interaction Energy-Based Generative Model: Approximation in
  Feature Space
Elastic Interaction Energy-Based Generative Model: Approximation in Feature Space
Chuqi Chen
Yue Wu
Yang Xiang
52
1
0
19 Mar 2023
Domain-knowledge Inspired Pseudo Supervision (DIPS) for Unsupervised
  Image-to-Image Translation Models to Support Cross-Domain Classification
Domain-knowledge Inspired Pseudo Supervision (DIPS) for Unsupervised Image-to-Image Translation Models to Support Cross-Domain Classification
Firas Al-Hindawi
M. R. Siddiquee
Teresa Wu
Hang-Rui Hu
Ying Sun
54
5
0
18 Mar 2023
Leaping Into Memories: Space-Time Deep Feature Synthesis
Leaping Into Memories: Space-Time Deep Feature Synthesis
Alexandros Stergiou
Nikos Deligiannis
49
0
0
17 Mar 2023
Unsupervised Traffic Scene Generation with Synthetic 3D Scene Graphs
Unsupervised Traffic Scene Generation with Synthetic 3D Scene Graphs
Artem Savkin
Rachid Ellouze
Nassir Navab
F. Tombari
70
12
0
15 Mar 2023
Interpretable ODE-style Generative Diffusion Model via Force Field
  Construction
Interpretable ODE-style Generative Diffusion Model via Force Field Construction
Weiyang Jin
Yongpei Zhu
Yuxi Peng
DiffM
46
0
0
14 Mar 2023
Digital staining in optical microscopy using deep learning -- a review
Digital staining in optical microscopy using deep learning -- a review
Lucas Kreiss
Shaowei Jiang
Xiang Li
Shiqi Xu
Kevin C Zhou
...
Seung Ah Lee
G. Zheng
Kyle J. Lafata
O. Friedrich
R. Horstmeyer
104
17
0
14 Mar 2023
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D
  Generation
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
Junyoung Seo
Wooseok Jang
Minseop Kwak
Ines Hyeonsu Kim
Jaehoon Ko
Junho Kim
Jin-Hwa Kim
Jiyoung Lee
Seung Wook Kim
DiffM
82
138
0
14 Mar 2023
Text-to-image Diffusion Models in Generative AI: A Survey
Text-to-image Diffusion Models in Generative AI: A Survey
Chenshuang Zhang
Chaoning Zhang
Mengchun Zhang
In So Kweon
VLM
120
280
0
14 Mar 2023
Recent Advances and Applications of Machine Learning in Experimental
  Solid Mechanics: A Review
Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review
Hanxun Jin
Enrui Zhang
H. Espinosa
AI4CE
126
77
0
14 Mar 2023
3D Cinemagraphy from a Single Image
3D Cinemagraphy from a Single Image
Xingyi Li
Z. Cao
Huiqiang Sun
Jianming Zhang
Ke Xian
Guo-Shing Lin
3DVVGen
80
25
0
10 Mar 2023
Feature Unlearning for Pre-trained GANs and VAEs
Feature Unlearning for Pre-trained GANs and VAEs
Saemi Moon
Seunghyuk Cho
Dongwoo Kim
SSLGANMU
135
13
0
10 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
96
478
0
09 Mar 2023
High Fidelity Synthetic Face Generation for Rosacea Skin Condition from
  Limited Data
High Fidelity Synthetic Face Generation for Rosacea Skin Condition from Limited Data
Anwesha Mohanty
Alistair Sutherland
Marija Bezbradica
Hossein Javidnia
MedIm
51
1
0
08 Mar 2023
X-Avatar: Expressive Human Avatars
X-Avatar: Expressive Human Avatars
Ka Shen
Chen Guo
Manuel Kaufmann
Juan Jose Zarate
Julien Valentin
Jie Song
Otmar Hilliges
101
55
0
08 Mar 2023
Vector Quantized Time Series Generation with a Bidirectional Prior Model
Vector Quantized Time Series Generation with a Bidirectional Prior Model
Daesoo Lee
Sara Malacarne
Erlend Aune
BDL
88
29
0
08 Mar 2023
Transformer-based Image Generation from Scene Graphs
Transformer-based Image Generation from Scene Graphs
Renato Sortino
S. Palazzo
C. Spampinato
ViT
84
15
0
08 Mar 2023
M-EBM: Towards Understanding the Manifolds of Energy-Based Models
M-EBM: Towards Understanding the Manifolds of Energy-Based Models
Xiulong Yang
Shihao Ji
62
5
0
08 Mar 2023
Lformer: Text-to-Image Generation with L-shape Block Parallel Decoding
Lformer: Text-to-Image Generation with L-shape Block Parallel Decoding
Jiacheng Li
Longhui Wei
Zongyuan Zhan
Xinfu He
Siliang Tang
Qi Tian
Yueting Zhuang
48
4
0
07 Mar 2023
MotionVideoGAN: A Novel Video Generator Based on the Motion Space
  Learned from Image Pairs
MotionVideoGAN: A Novel Video Generator Based on the Motion Space Learned from Image Pairs
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
VGen
62
4
0
06 Mar 2023
A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy
  Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial
  Networks
A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial Networks
Forough Fazeli Asl
M. Zhang
Lizhen Lin
77
1
0
05 Mar 2023
How to Construct Energy for Images? Denoising Autoencoder Can Be Energy
  Based Model
How to Construct Energy for Images? Denoising Autoencoder Can Be Energy Based Model
W. Zeng
DiffM
68
1
0
05 Mar 2023
A Complete Recipe for Diffusion Generative Models
A Complete Recipe for Diffusion Generative Models
Kushagra Pandey
Stephan Mandt
DiffM
67
9
0
03 Mar 2023
Improving GAN Training via Feature Space Shrinkage
Improving GAN Training via Feature Space Shrinkage
Haozhe Liu
Wentian Zhang
Bing Li
Haoqian Wu
Nanjun He
Yawen Huang
Yuexiang Li
Guohao Li
Yefeng Zheng
GAN
48
6
0
02 Mar 2023
Counterfactual Edits for Generative Evaluation
Counterfactual Edits for Generative Evaluation
Maria Lymperaiou
Giorgos Filandrianos
Konstantinos Thomas
Giorgos Stamou
EGVM
67
0
0
02 Mar 2023
Consistency Models
Consistency Models
Yang Song
Prafulla Dhariwal
Mark Chen
Ilya Sutskever
VLMDiffM
124
982
0
02 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
127
55
0
02 Mar 2023
Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation
Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation
Rui Zhao
Wei Li
Zhipeng Hu
Lincheng Li
Zhengxia Zou
Z. Shi
Changjie Fan
71
19
0
02 Mar 2023
PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash
  Equilibrium
PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium
Shihong Ding
Hanze Dong
Cong Fang
Zhouchen Lin
Tong Zhang
76
1
0
02 Mar 2023
Understanding Diffusion Objectives as the ELBO with Simple Data
  Augmentation
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
Diederik P. Kingma
Ruiqi Gao
DiffM
118
144
0
01 Mar 2023
Ensemble flow reconstruction in the atmospheric boundary layer from
  spatially limited measurements through latent diffusion models
Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion models
A. Rybchuk
M. Hassanaly
N. Hamilton
P. Doubrawa
Mitchell J. Fulton
L. Martínez‐Tossas
AI4CEDiffM
61
18
0
01 Mar 2023
Diffusion Probabilistic Fields
Diffusion Probabilistic Fields
Peiye Zhuang
Samira Abnar
Jiatao Gu
Alex Schwing
Joshua M. Susskind
Miguel Angel Bautista
DiffM
66
24
0
01 Mar 2023
Balanced Training for Sparse GANs
Balanced Training for Sparse GANs
Yite Wang
Jing Wu
N. Hovakimyan
Ruoyu Sun
96
9
0
28 Feb 2023
Differentially Private Diffusion Models Generate Useful Synthetic Images
Differentially Private Diffusion Models Generate Useful Synthetic Images
Sahra Ghalebikesabi
Leonard Berrada
Sven Gowal
Ira Ktena
Robert Stanforth
Jamie Hayes
Soham De
Samuel L. Smith
Olivia Wiles
Borja Balle
DiffM
76
75
0
27 Feb 2023
A Comparative Analysis Of Latent Regressor Losses For Singing Voice
  Conversion
A Comparative Analysis Of Latent Regressor Losses For Singing Voice Conversion
Brendan O'Connor
S. Dixon
43
0
0
27 Feb 2023
Diffusion Model-Augmented Behavioral Cloning
Diffusion Model-Augmented Behavioral Cloning
Shangcheng Chen
Hsiang-Chun Wang
Ming-Hao Hsu
Chun-Mao Lai
Shao-Hua Sun
DiffM
150
31
0
26 Feb 2023
On Deep Generative Models for Approximation and Estimation of
  Distributions on Manifolds
On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds
Biraj Dahal
Alex Havrilla
Minshuo Chen
Tuo Zhao
Wenjing Liao
GAN
59
10
0
25 Feb 2023
Data-Copying in Generative Models: A Formal Framework
Data-Copying in Generative Models: A Formal Framework
Robi Bhattacharjee
S. Dasgupta
Kamalika Chaudhuri
TDI
83
8
0
25 Feb 2023
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