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Comparing the latent space of generative models

Comparing the latent space of generative models

14 July 2022
Andrea Asperti
Valerio Tonelli
    DRL
ArXivPDFHTML

Papers citing "Comparing the latent space of generative models"

50 / 61 papers shown
Title
Overparameterization Improves StyleGAN Inversion
Overparameterization Improves StyleGAN Inversion
Yohan Poirier-Ginter
Alexandre Lessard
Ryan Smith
Jean-François Lalonde
63
4
0
12 May 2022
Enhancing variational generation through self-decomposition
Enhancing variational generation through self-decomposition
Andrea Asperti
Laura Bugo
Daniele Filippini
DRL
56
2
0
06 Feb 2022
HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing
HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing
Yuval Alaluf
Omer Tov
Ron Mokady
Rinon Gal
Amit H. Bermano
83
271
0
30 Nov 2021
Alias-Free Generative Adversarial Networks
Alias-Free Generative Adversarial Networks
Tero Karras
M. Aittala
S. Laine
Erik Härkönen
Janne Hellsten
J. Lehtinen
Timo Aila
GAN
148
1,582
0
23 Jun 2021
Multi-Resolution Continuous Normalizing Flows
Multi-Resolution Continuous Normalizing Flows
Vikram S. Voleti
Chris Finlay
Adam M. Oberman
Christopher Pal
35
4
0
15 Jun 2021
Latent Space Exploration Using Generative Kernel PCA
Latent Space Exploration Using Generative Kernel PCA
David Winant
J. Schreurs
Johan A. K. Suykens
22
12
0
28 May 2021
An Introduction to Deep Generative Modeling
An Introduction to Deep Generative Modeling
Lars Ruthotto
E. Haber
AI4CE
76
225
0
09 Mar 2021
A survey on Variational Autoencoders from a GreenAI perspective
A survey on Variational Autoencoders from a GreenAI perspective
Andrea Asperti
David Evangelista
E. Loli Piccolomini
DRL
42
51
0
01 Mar 2021
GAN Inversion: A Survey
GAN Inversion: A Survey
Weihao Xia
Yulun Zhang
Yujiu Yang
Jing-Hao Xue
Bolei Zhou
Ming-Hsuan Yang
DiffM
127
509
0
14 Jan 2021
How to Train Your Energy-Based Models
How to Train Your Energy-Based Models
Yang Song
Diederik P. Kingma
DiffM
47
252
0
09 Jan 2021
A Commentary on the Unsupervised Learning of Disentangled
  Representations
A Commentary on the Unsupervised Learning of Disentangled Representations
Francesco Locatello
Stefan Bauer
Mario Lucic
Gunnar Rätsch
Sylvain Gelly
Bernhard Schölkopf
Olivier Bachem
OOD
DRL
49
21
0
28 Jul 2020
Closed-Form Factorization of Latent Semantics in GANs
Closed-Form Factorization of Latent Semantics in GANs
Yujun Shen
Bolei Zhou
GAN
70
589
0
13 Jul 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
279
17,550
0
19 Jun 2020
InterFaceGAN: Interpreting the Disentangled Face Representation Learned
  by GANs
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs
Yujun Shen
Ceyuan Yang
Xiaoou Tang
Bolei Zhou
GAN
CVBM
54
596
0
18 May 2020
Semantic Photo Manipulation with a Generative Image Prior
Semantic Photo Manipulation with a Generative Image Prior
David Bau
Hendrik Strobelt
William S. Peebles
Jonas Wulff
Bolei Zhou
Jun-Yan Zhu
Antonio Torralba
GAN
56
351
0
15 May 2020
Editing in Style: Uncovering the Local Semantics of GANs
Editing in Style: Uncovering the Local Semantics of GANs
Edo Collins
R. Bala
B. Price
Sabine Süsstrunk
56
278
0
29 Apr 2020
In-Domain GAN Inversion for Real Image Editing
In-Domain GAN Inversion for Real Image Editing
Jiapeng Zhu
Yujun Shen
Deli Zhao
Bolei Zhou
DiffM
59
641
0
31 Mar 2020
Leveraging Frequency Analysis for Deep Fake Image Recognition
Leveraging Frequency Analysis for Deep Fake Image Recognition
Joel Frank
Thorsten Eisenhofer
Lea Schonherr
Asja Fischer
D. Kolossa
Thorsten Holz
38
546
0
19 Mar 2020
Balancing reconstruction error and Kullback-Leibler divergence in
  Variational Autoencoders
Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders
Andrea Asperti
Matteo Trentin
DRL
37
99
0
18 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
194
10,591
0
17 Feb 2020
MimicGAN: Robust Projection onto Image Manifolds with Corruption
  Mimicking
MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking
Rushil Anirudh
Jayaraman J. Thiagarajan
B. Kailkhura
T. Bremer
AAML
31
43
0
16 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
252
5,769
0
03 Dec 2019
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for
  Generative Models
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models
Giannis Daras
Augustus Odena
Han Zhang
A. Dimakis
50
56
0
27 Nov 2019
Image2StyleGAN++: How to Edit the Embedded Images?
Image2StyleGAN++: How to Edit the Embedded Images?
Rameen Abdal
Yipeng Qin
Peter Wonka
66
554
0
26 Nov 2019
An Introduction to Variational Autoencoders
An Introduction to Variational Autoencoders
Diederik P. Kingma
Max Welling
BDL
SSL
DRL
63
2,322
0
06 Jun 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2
Generating Diverse High-Fidelity Images with VQ-VAE-2
Ali Razavi
Aaron van den Oord
Oriol Vinyals
DRL
BDL
103
1,788
0
02 Jun 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Sjoerd van Steenkiste
Francesco Locatello
Jürgen Schmidhuber
Olivier Bachem
52
208
0
29 May 2019
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?
Rameen Abdal
Yipeng Qin
Peter Wonka
GAN
93
1,109
0
05 Apr 2019
Diagnosing and Enhancing VAE Models
Diagnosing and Enhancing VAE Models
Bin Dai
David Wipf
DRL
39
378
0
14 Mar 2019
Preventing Posterior Collapse with delta-VAEs
Preventing Posterior Collapse with delta-VAEs
Ali Razavi
Aaron van den Oord
Ben Poole
Oriol Vinyals
DRL
53
170
0
10 Jan 2019
Sparsity in Variational Autoencoders
Sparsity in Variational Autoencoders
Andrea Asperti
BDL
DRL
23
10
0
18 Dec 2018
Learning Latent Subspaces in Variational Autoencoders
Learning Latent Subspaces in Variational Autoencoders
Jack Klys
Jake C. Snell
R. Zemel
SSL
DRL
109
139
0
14 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
502
10,466
0
12 Dec 2018
Challenging Common Assumptions in the Unsupervised Learning of
  Disentangled Representations
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Francesco Locatello
Stefan Bauer
Mario Lucic
Gunnar Rätsch
Sylvain Gelly
Bernhard Schölkopf
Olivier Bachem
OOD
91
1,451
0
29 Nov 2018
Resampled Priors for Variational Autoencoders
Resampled Priors for Variational Autoencoders
Matthias Bauer
A. Mnih
BDL
DRL
82
111
0
26 Oct 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
213
5,363
0
28 Sep 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDL
DRL
203
3,110
0
09 Jul 2018
Self-Attention Generative Adversarial Networks
Self-Attention Generative Adversarial Networks
Han Zhang
Ian Goodfellow
Dimitris N. Metaxas
Augustus Odena
GAN
107
3,710
0
21 May 2018
Understanding disentangling in $β$-VAE
Understanding disentangling in βββ-VAE
Christopher P. Burgess
I. Higgins
Arka Pal
Loic Matthey
Nicholas Watters
Guillaume Desjardins
Alexander Lerchner
CoGe
DRL
44
828
0
10 Apr 2018
Distribution Matching in Variational Inference
Distribution Matching in Variational Inference
Mihaela Rosca
Balaji Lakshminarayanan
S. Mohamed
GAN
CML
DRL
51
98
0
19 Feb 2018
Disentangling by Factorising
Disentangling by Factorising
Hyunjik Kim
A. Mnih
CoGe
OOD
42
1,336
0
16 Feb 2018
PixelSNAIL: An Improved Autoregressive Generative Model
PixelSNAIL: An Improved Autoregressive Generative Model
Xi Chen
Nikhil Mishra
Mostafa Rohaninejad
Pieter Abbeel
DRL
DiffM
BDL
GAN
50
270
0
28 Dec 2017
Are GANs Created Equal? A Large-Scale Study
Are GANs Created Equal? A Large-Scale Study
Mario Lucic
Karol Kurach
Marcin Michalski
Sylvain Gelly
Olivier Bousquet
EGVM
44
1,008
0
28 Nov 2017
Wasserstein Auto-Encoders
Wasserstein Auto-Encoders
Ilya O. Tolstikhin
Olivier Bousquet
Sylvain Gelly
B. Schölkopf
DRL
99
1,049
0
05 Nov 2017
Neural Discrete Representation Learning
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDL
SSL
OCL
154
4,928
0
02 Nov 2017
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
100
7,318
0
27 Oct 2017
VAE with a VampPrior
VAE with a VampPrior
Jakub M. Tomczak
Max Welling
GAN
BDL
49
628
0
19 May 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
135
4,817
0
26 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks
NIPS 2016 Tutorial: Generative Adversarial Networks
Ian Goodfellow
GAN
98
1,721
0
31 Dec 2016
Invertible Conditional GANs for image editing
Invertible Conditional GANs for image editing
Guim Perarnau
Joost van de Weijer
Bogdan Raducanu
J. Álvarez
GAN
70
648
0
19 Nov 2016
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