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1904.06991
Cited By
Improved Precision and Recall Metric for Assessing Generative Models
15 April 2019
Tuomas Kynkaanniemi
Tero Karras
S. Laine
J. Lehtinen
Timo Aila
EGVM
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Papers citing
"Improved Precision and Recall Metric for Assessing Generative Models"
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Generalization Metrics for Practical Quantum Advantage in Generative Models
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Synthesising Electronic Health Records: Cystic Fibrosis Patient Group
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Representation Topology Divergence: A Method for Comparing Neural Network Representations
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Evgeny Burnaev
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High-Resolution Image Synthesis with Latent Diffusion Models
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GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
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Prafulla Dhariwal
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Bob McGrew
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Mark Chen
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Ensembling Off-the-shelf Models for GAN Training
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Richard Y. Zhang
Eli Shechtman
Jun-Yan Zhu
34
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16 Dec 2021
One-Shot Generative Domain Adaptation
Ceyuan Yang
Yujun Shen
Zhiyi Zhang
Yinghao Xu
Jiapeng Zhu
Zhirong Wu
Bolei Zhou
29
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18 Nov 2021
Learning Signal-Agnostic Manifolds of Neural Fields
Yilun Du
Katherine M. Collins
J. Tenenbaum
Vincent Sitzmann
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47
0
11 Nov 2021
Adversarial sampling of unknown and high-dimensional conditional distributions
M. Hassanaly
Andrew Glaws
Karen Stengel
Ryan N. King
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27
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0
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Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers
Yanhong Zeng
Huan Yang
Hongyang Chao
Jianbo Wang
Jianlong Fu
ViT
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Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
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Woohyeon Shim
Minsu Cho
Jaesik Park
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Projected GANs Converge Faster
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Kashyap Chitta
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Andreas Geiger
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DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
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Trent Kyono
J. Linmans
M. Schaar
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Collaging Class-specific GANs for Semantic Image Synthesis
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Yijun Li
Jingwan Lu
Eli Shechtman
Yong Jae Lee
Krishna Kumar Singh
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08 Oct 2021
Instance-Conditioned GAN
Arantxa Casanova
Marlene Careil
Jakob Verbeek
M. Drozdzal
Adriana Romero Soriano
GAN
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0
10 Sep 2021
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction
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Sven Elflein
Laura Leal-Taixé
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20 Aug 2021
Sketch Your Own GAN
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David Bau
Jun-Yan Zhu
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Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals
Lang Liu
Krishna Pillutla
Sean Welleck
Sewoong Oh
Yejin Choi
Zaïd Harchaoui
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Learning to See by Looking at Noise
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Jonas Wulff
Tongzhou Wang
Phillip Isola
Antonio Torralba
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10 Jun 2021
ZoPE: A Fast Optimizer for ReLU Networks with Low-Dimensional Inputs
Christopher A. Strong
Sydney M. Katz
Anthony Corso
Mykel J. Kochenderfer
22
2
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Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
83
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0
11 May 2021
Learning to design drug-like molecules in three-dimensional space using deep generative models
Yibo Li
Jianfeng Pei
L. Lai
DiffM
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17 Apr 2021
Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems
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Lukas Mecke
Florian Lehmann
Hai Dang
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Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Shengyu Zhao
Jianwei Cui
Yilun Sheng
Yue Dong
Xiao Liang
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Yan Xu
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18 Mar 2021
Generating Images with Sparse Representations
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Jacob Menick
Sander Dieleman
Peter W. Battaglia
33
199
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Generative Adversarial Transformers
Drew A. Hudson
C. L. Zitnick
ViT
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01 Mar 2021
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
J. Lee
Haeri Kim
Youngkyu Hong
Hye Won Chung
25
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24 Feb 2021
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
60
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18 Feb 2021
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Ahmed Alaa
B. V. Breugel
Evgeny S. Saveliev
M. Schaar
59
186
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17 Feb 2021
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
Krishna Pillutla
Swabha Swayamdipta
Rowan Zellers
John Thickstun
Sean Welleck
Yejin Choi
Zaïd Harchaoui
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Adversarial Text-to-Image Synthesis: A Review
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Tobias Hinz
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Jörn Hees
Andreas Dengel
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175
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Positional Encoding as Spatial Inductive Bias in GANs
Rui Xu
Xintao Wang
Kai-xiang Chen
Bolei Zhou
Chen Change Loy
GAN
27
89
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09 Dec 2020
Image Generators with Conditionally-Independent Pixel Synthesis
Ivan Anokhin
K. Demochkin
Taras Khakhulin
Gleb Sterkin
Victor Lempitsky
Denis Korzhenkov
36
156
0
27 Nov 2020
Toward a Generalization Metric for Deep Generative Models
Hoang Thanh-Tung
T. Tran
39
5
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02 Nov 2020
Multi-Sensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery
Patrick Ebel
A. Meraner
M. Schmitt
Xiaoxiang Zhu
21
111
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16 Sep 2020
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications
Xuan Li
Xun Huang
Jiahui Yu
Ting-Chun Wang
Arun Mallya
GAN
30
153
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Geometrically Enriched Latent Spaces
Georgios Arvanitidis
Søren Hauberg
Bernhard Schölkopf
DRL
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51
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Data-efficient visuomotor policy training using reinforcement learning and generative models
Ali Ghadirzadeh
Petra Poklukar
Ville Kyrki
Danica Kragic
Mårten Björkman
OffRL
39
9
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Deep Residual Mixture Models
Perttu Hämäläinen
Martin Trapp
Tuure Saloheimo
Arno Solin
36
8
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Training Generative Adversarial Networks with Limited Data
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M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
78
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0
11 Jun 2020
Mimicry: Towards the Reproducibility of GAN Research
Kwot Sin Lee
C. Town
OffRL
23
28
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GIQA: Generated Image Quality Assessment
Shuyang Gu
Jianmin Bao
Dong Chen
Fang Wen
EGVM
165
82
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19 Mar 2020
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes with Applications to Anomaly Detection
William Paul
I-J. Wang
F. Alajaji
Philippe Burlina
DiffM
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6
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Deep Automodulators
Ari Heljakka
Wenshuai Zhao
Arno Solin
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31
5
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21 Dec 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2
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Aaron van den Oord
Oriol Vinyals
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1,767
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A Style-Based Generator Architecture for Generative Adversarial Networks
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S. Laine
Timo Aila
306
10,368
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A Large-Scale Study on Regularization and Normalization in GANs
Karol Kurach
Mario Lucic
Xiaohua Zhai
Marcin Michalski
Sylvain Gelly
AI4CE
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155
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Conditional Image Synthesis With Auxiliary Classifier GANs
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C. Olah
Jonathon Shlens
GAN
250
3,190
0
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Revisiting Classifier Two-Sample Tests
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Maxime Oquab
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390
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