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Generating Diverse High-Fidelity Images with VQ-VAE-2

Generating Diverse High-Fidelity Images with VQ-VAE-2

2 June 2019
Ali Razavi
Aaron van den Oord
Oriol Vinyals
    DRL
    BDL
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Papers citing "Generating Diverse High-Fidelity Images with VQ-VAE-2"

50 / 1,107 papers shown
Title
A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images
  Detection
A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection
Keshigeyan Chandrasegaran
Ngoc-Trung Tran
Ngai-man Cheung
19
83
0
31 Mar 2021
Symbolic Music Generation with Diffusion Models
Symbolic Music Generation with Diffusion Models
Gautam Mittal
Jesse Engel
Curtis Hawthorne
Ian Simon
MGen
DiffM
57
190
0
30 Mar 2021
PixelTransformer: Sample Conditioned Signal Generation
PixelTransformer: Sample Conditioned Signal Generation
Shubham Tulsiani
Abhinav Gupta
22
15
0
29 Mar 2021
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable
  Layout and Style
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style
Stanislav Frolov
Avneesh Sharma
Jörn Hees
Tushar Karayil
Federico Raue
Andreas Dengel
26
15
0
25 Mar 2021
Decomposing Normal and Abnormal Features of Medical Images into Discrete
  Latent Codes for Content-Based Image Retrieval
Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval
Kazuma Kobayashi
Ryuichiro Hataya
Y. Kurose
M. Miyake
Masamichi Takahashi
Akiko Nakagawa
Tatsuya Harada
Ryuji Hamamoto
MedIm
28
18
0
23 Mar 2021
Paint by Word
Paint by Word
A. Andonian
David Bau
Audrey Cui
YeonHwan Park
Ali Jahanian
Antonio Torralba
A. Oliva
DiffM
20
125
0
19 Mar 2021
Generating Diverse Structure for Image Inpainting With Hierarchical
  VQ-VAE
Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE
Jialun Peng
Dong Liu
Songcen Xu
Houqiang Li
DiffM
25
191
0
18 Mar 2021
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and
  Deep Mixtures of Experts
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CoGe
35
8
0
12 Mar 2021
Variable-rate discrete representation learning
Variable-rate discrete representation learning
Sander Dieleman
C. Nash
Jesse Engel
Karen Simonyan
BDL
DRL
32
23
0
10 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs,
  Normalizing Flows, Energy-Based and Autoregressive Models
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
48
485
0
08 Mar 2021
Generating Images with Sparse Representations
Generating Images with Sparse Representations
C. Nash
Jacob Menick
Sander Dieleman
Peter W. Battaglia
33
201
0
05 Mar 2021
crank: An Open-Source Software for Nonparallel Voice Conversion Based on
  Vector-Quantized Variational Autoencoder
crank: An Open-Source Software for Nonparallel Voice Conversion Based on Vector-Quantized Variational Autoencoder
Kazuhiro Kobayashi
Wen-Chin Huang
Yi-Chiao Wu
Patrick Lumban Tobing
Tomoki Hayashi
Tomoki Toda
BDL
DRL
14
19
0
04 Mar 2021
Predicting Video with VQVAE
Predicting Video with VQVAE
Jacob Walker
Ali Razavi
Aaron van den Oord
DRL
24
67
0
02 Mar 2021
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Felix Juefei Xu
Run Wang
Yihao Huang
Qing Guo
Lei Ma
Yang Liu
AAML
33
132
0
27 Feb 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
257
4,816
0
24 Feb 2021
Unsupervised Brain Anomaly Detection and Segmentation with Transformers
Unsupervised Brain Anomaly Detection and Segmentation with Transformers
W. H. Pinaya
Petru-Daniel Tudosiu
Robert J. Gray
G. Rees
P. Nachev
Sebastien Ourselin
M. Jorge Cardoso
ViT
MedIm
30
60
0
23 Feb 2021
Anytime Sampling for Autoregressive Models via Ordered Autoencoding
Anytime Sampling for Autoregressive Models via Ordered Autoencoding
Yilun Xu
Yang Song
Sahaj Garg
Linyuan Gong
Rui Shu
Aditya Grover
Stefano Ermon
DiffM
40
11
0
23 Feb 2021
FaceController: Controllable Attribute Editing for Face in the Wild
FaceController: Controllable Attribute Editing for Face in the Wild
Zhi-liang Xu
Xiyu Yu
Zhibin Hong
Zhen Zhu
Junyu Han
Jingtuo Liu
Errui Ding
X. Bai
CVBM
11
42
0
23 Feb 2021
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
Yangjun Ruan
Karen Ullrich
Daniel de Souza Severo
James Townsend
Ashish Khisti
Arnaud Doucet
Alireza Makhzani
Chris J. Maddison
27
25
0
22 Feb 2021
Improved Denoising Diffusion Probabilistic Models
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
60
3,549
0
18 Feb 2021
Preventing Oversmoothing in VAE via Generalized Variance
  Parameterization
Preventing Oversmoothing in VAE via Generalized Variance Parameterization
Yuhta Takida
Wei-Hsiang Liao
Chieh-Hsin Lai
Toshimitsu Uesaka
Shusuke Takahashi
Yuki Mitsufuji
DRL
49
13
0
17 Feb 2021
Certifiably Robust Variational Autoencoders
Certifiably Robust Variational Autoencoders
Ben Barrett
A. Camuto
M. Willetts
Tom Rainforth
AAML
DRL
29
15
0
15 Feb 2021
Using Deep LSD to build operators in GANs latent space with meaning in
  real space
Using Deep LSD to build operators in GANs latent space with meaning in real space
J. Q. Toledo-Marín
J. Glazier
GAN
22
3
0
09 Feb 2021
CNN with large memory layers
CNN with large memory layers
R. Karimov
Yury Malkov
Karim Iskakov
Victor Lempitsky
27
0
0
27 Jan 2021
Fast Non-line-of-sight Imaging with Two-step Deep Remapping
Fast Non-line-of-sight Imaging with Two-step Deep Remapping
Dayu Zhu
W. Cai
27
0
0
26 Jan 2021
Adversarial Text-to-Image Synthesis: A Review
Adversarial Text-to-Image Synthesis: A Review
Stanislav Frolov
Tobias Hinz
Federico Raue
Jörn Hees
Andreas Dengel
EGVM
27
175
0
25 Jan 2021
Hierarchical disentangled representation learning for singing voice
  conversion
Hierarchical disentangled representation learning for singing voice conversion
Naoya Takahashi
M. Singh
Yuki Mitsufuji
DRL
15
14
0
18 Jan 2021
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
Fahad Shahbaz Khan
M. Shah
ViT
233
2,434
0
04 Jan 2021
Soft-IntroVAE: Analyzing and Improving the Introspective Variational
  Autoencoder
Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder
Tal Daniel
Aviv Tamar
DRL
43
42
0
24 Dec 2020
Generative Interventions for Causal Learning
Generative Interventions for Causal Learning
Chengzhi Mao
Augustine Cha
Amogh Gupta
Hongya Wang
Junfeng Yang
Carl Vondrick
CML
OOD
13
64
0
22 Dec 2020
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
Spyros Gidaris
Andrei Bursuc
Gilles Puy
N. Komodakis
Matthieu Cord
P. Pérez
SSL
30
70
0
21 Dec 2020
Taming Transformers for High-Resolution Image Synthesis
Taming Transformers for High-Resolution Image Synthesis
Patrick Esser
Robin Rombach
Bjorn Ommer
ViT
64
2,837
0
17 Dec 2020
Planning from Pixels in Atari with Learned Symbolic Representations
Planning from Pixels in Atari with Learned Symbolic Representations
Andrea Dittadi
Frederik K. Drachmann
Thomas Bolander
28
11
0
16 Dec 2020
Full-Glow: Fully conditional Glow for more realistic image generation
Full-Glow: Fully conditional Glow for more realistic image generation
Moein Sorkhei
G. Henter
Hedvig Kjellström
30
6
0
10 Dec 2020
Learning Vector Quantized Shape Code for Amodal Blastomere Instance
  Segmentation
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation
Won-Dong Jang
D. Wei
Xingxuan Zhang
B. Leahy
Helen Y Yang
James Tompkin
D. Ben-Yosef
D. Needleman
Hanspeter Pfister
29
14
0
02 Dec 2020
Unpaired Image-to-Image Translation via Latent Energy Transport
Unpaired Image-to-Image Translation via Latent Energy Transport
Yang Zhao
Changyou Chen
19
27
0
01 Dec 2020
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffM
SyDa
102
6,126
0
26 Nov 2020
Generative Layout Modeling using Constraint Graphs
Generative Layout Modeling using Constraint Graphs
W. Para
Paul Guerrero
Tom Kelly
Leonidas J. Guibas
Peter Wonka
31
69
0
26 Nov 2020
Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image
  Generation
Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation
Davis Wertheimer
Omid Poursaeed
B. Hariharan
20
9
0
25 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image Classification
Mixture-based Feature Space Learning for Few-shot Image Classification
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
18
70
0
24 Nov 2020
Synthesizing Optical and SAR Imagery From Land Cover Maps and Auxiliary
  Raster Data
Synthesizing Optical and SAR Imagery From Land Cover Maps and Auxiliary Raster Data
Gerald Baier
Antonin Deschemps
M. Schmitt
Naoto Yokoya
GAN
31
35
0
23 Nov 2020
Predictive Coding, Variational Autoencoders, and Biological Connections
Predictive Coding, Variational Autoencoders, and Biological Connections
Joseph Marino
DRL
AI4CE
30
43
0
15 Nov 2020
Decomposing Normal and Abnormal Features of Medical Images for
  Content-based Image Retrieval
Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval
Kazuma Kobayashi
Ryuichiro Hataya
Y. Kurose
Tatsuya Harada
Ryuji Hamamoto
MedIm
13
15
0
12 Nov 2020
Testing for Typicality with Respect to an Ensemble of Learned
  Distributions
Testing for Typicality with Respect to an Ensemble of Learned Distributions
F. Laine
Claire Tomlin
13
0
0
11 Nov 2020
Detecting Outliers with Foreign Patch Interpolation
Detecting Outliers with Foreign Patch Interpolation
Jeremy Tan
Benjamin Hou
James Batten
Huaqi Qiu
Bernhard Kainz
MedIm
17
48
0
09 Nov 2020
Improving Variational Autoencoder for Text Modelling with Timestep-Wise
  Regularisation
Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation
Ruizhe Li
Xiao Li
Guanyi Chen
Chenghua Lin
DRL
17
17
0
02 Nov 2020
Wavelet Flow: Fast Training of High Resolution Normalizing Flows
Wavelet Flow: Fast Training of High Resolution Normalizing Flows
Jason J. Yu
Konstantinos G. Derpanis
Marcus A. Brubaker
TPM
32
41
0
26 Oct 2020
Few-Shot Adaptation of Generative Adversarial Networks
Few-Shot Adaptation of Generative Adversarial Networks
Esther Robb
Wen-Sheng Chu
Abhishek Kumar
Jia-Bin Huang
40
99
0
22 Oct 2020
CLAR: Contrastive Learning of Auditory Representations
CLAR: Contrastive Learning of Auditory Representations
Haider Al-Tahan
Y. Mohsenzadeh
SSL
125
56
0
19 Oct 2020
Evidential Sparsification of Multimodal Latent Spaces in Conditional
  Variational Autoencoders
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders
Masha Itkina
Boris Ivanovic
Ransalu Senanayake
Mykel J. Kochenderfer
Marco Pavone
32
18
0
19 Oct 2020
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