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Autoencoding beyond pixels using a learned similarity metric

Autoencoding beyond pixels using a learned similarity metric

31 December 2015
Anders Boesen Lindbo Larsen
Søren Kaae Sønderby
Hugo Larochelle
Ole Winther
    GAN
ArXivPDFHTML

Papers citing "Autoencoding beyond pixels using a learned similarity metric"

50 / 900 papers shown
Title
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred
  from Vision
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
I. Higgins
Peter Wirnsberger
Andrew Jaegle
Aleksandar Botev
50
8
0
10 Nov 2021
RAVE: A variational autoencoder for fast and high-quality neural audio
  synthesis
RAVE: A variational autoencoder for fast and high-quality neural audio synthesis
Antoine Caillon
P. Esling
DRL
27
109
0
09 Nov 2021
NeurInt : Learning to Interpolate through Neural ODEs
NeurInt : Learning to Interpolate through Neural ODEs
Avinandan Bose
Aniket Das
Yatin Dandi
P. Rai
DiffM
DRL
25
0
0
07 Nov 2021
CVAD: A generic medical anomaly detector based on Cascade VAE
CVAD: A generic medical anomaly detector based on Cascade VAE
Xiaoyuan Guo
J. Gichoya
S. Purkayastha
Imon Banerjee
OODD
22
8
0
29 Oct 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution
  Detection: Solutions and Future Challenges
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges
Mohammadreza Salehi
Hossein Mirzaei
Dan Hendrycks
Yixuan Li
M. Rohban
Mohammad Sabokrou
OOD
38
191
0
26 Oct 2021
Applications of Generative Adversarial Networks in Anomaly Detection: A
  Systematic Literature Review
Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review
Mikael Sabuhi
Ming Zhou
C. Bezemer
Petr Musílek
AI4TS
MedIm
24
34
0
22 Oct 2021
Towards modelling hazard factors in unstructured data spaces using
  gradient-based latent interpolation
Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation
Tobias Weber
Michael Ingrisch
Bernd Bischl
David Rügamer
17
1
0
21 Oct 2021
A Domain Gap Aware Generative Adversarial Network for Multi-domain Image
  Translation
A Domain Gap Aware Generative Adversarial Network for Multi-domain Image Translation
Wenju Xu
Guanghui Wang
43
14
0
21 Oct 2021
Repaint: Improving the Generalization of Down-Stream Visual Tasks by
  Generating Multiple Instances of Training Examples
Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples
Amin Banitalebi-Dehkordi
Yong Zhang
28
7
0
20 Oct 2021
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Max Morrison
Rithesh Kumar
Kundan Kumar
Prem Seetharaman
Aaron Courville
Yoshua Bengio
GAN
41
68
0
19 Oct 2021
Natural Image Reconstruction from fMRI using Deep Learning: A Survey
Natural Image Reconstruction from fMRI using Deep Learning: A Survey
Zarina Rakhimberdina
Quentin Jodelet
Xin Liu
T. Murata
3DV
127
29
0
18 Oct 2021
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders
Ligong Han
S. Musunuri
Martin Renqiang Min
Ruijiang Gao
Yu Tian
Dimitris N. Metaxas
DRL
36
14
0
17 Oct 2021
Bridging the gap between paired and unpaired medical image translation
Bridging the gap between paired and unpaired medical image translation
Pauliina Paavilainen
S. Akram
Arno Solin
MedIm
33
16
0
15 Oct 2021
Inverse airfoil design method for generating varieties of smooth
  airfoils using conditional WGAN-gp
Inverse airfoil design method for generating varieties of smooth airfoils using conditional WGAN-gp
Kazuo Yonekura
Nozomu Miyamoto
Katsuyuki Suzuki
33
25
0
01 Oct 2021
Towards Better Data Augmentation using Wasserstein Distance in
  Variational Auto-encoder
Towards Better Data Augmentation using Wasserstein Distance in Variational Auto-encoder
Zichuan Chen
Peng Liu
DRL
13
0
0
30 Sep 2021
IGAN: Inferent and Generative Adversarial Networks
IGAN: Inferent and Generative Adversarial Networks
L. Vignaud
GAN
24
1
0
27 Sep 2021
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and
  Supervised Lesion Detection
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection
H. Akrami
Anand A. Joshi
Sergul Aydore
Richard M. Leahy
UQCV
39
4
0
20 Sep 2021
Inferential Wasserstein Generative Adversarial Networks
Inferential Wasserstein Generative Adversarial Networks
Yao Chen
Qingyi Gao
Xiao Wang
GAN
108
20
0
13 Sep 2021
Stochastic Adversarial Koopman Model for Dynamical Systems
Stochastic Adversarial Koopman Model for Dynamical Systems
K. Balakrishnan
Devesh Upadhyay
19
8
0
10 Sep 2021
An Introduction to Variational Inference
An Introduction to Variational Inference
Ankush Ganguly
Samuel W. F. Earp
BDL
13
19
0
30 Aug 2021
Field-Guide-Inspired Zero-Shot Learning
Field-Guide-Inspired Zero-Shot Learning
Utkarsh Mall
Bharath Hariharan
Kavita Bala
VLM
41
7
0
24 Aug 2021
Semantic Perturbations with Normalizing Flows for Improved
  Generalization
Semantic Perturbations with Normalizing Flows for Improved Generalization
Oğuz Kaan Yüksel
Sebastian U. Stich
Martin Jaggi
Tatjana Chavdarova
AAML
29
10
0
18 Aug 2021
DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic
  Style Transfer
DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer
Wenju Xu
Chengjiang Long
Ruisheng Wang
Guanghui Wang
GAN
41
79
0
17 Aug 2021
Audio2Gestures: Generating Diverse Gestures from Speech Audio with
  Conditional Variational Autoencoders
Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders
Jing Li
Di Kang
Wenjie Pei
Xuefei Zhe
Ying Zhang
Zhenyu He
Linchao Bao
SLR
41
101
0
15 Aug 2021
Enhancing audio quality for expressive Neural Text-to-Speech
Enhancing audio quality for expressive Neural Text-to-Speech
Abdelhamid Ezzerg
Adam Gabry's
Bartosz Putrycz
Daniel Korzekwa
Daniel Sáez-Trigueros
David McHardy
Kamil Pokora
Jakub Lachowicz
Jaime Lorenzo-Trueba
V. Klimkov
17
6
0
13 Aug 2021
Video Abnormal Event Detection by Learning to Complete Visual Cloze
  Tests
Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests
Siqi Wang
Guang Yu
Zhiping Cai
Xinwang Liu
En Zhu
Jianping Yin
36
4
0
05 Aug 2021
Perceptually Validated Precise Local Editing for Facial Action Units
  with StyleGAN
Perceptually Validated Precise Local Editing for Facial Action Units with StyleGAN
Alara Zindanciouglu
T. Metin Sezgin
CVBM
35
2
0
26 Jul 2021
SurfaceNet: Adversarial SVBRDF Estimation from a Single Image
SurfaceNet: Adversarial SVBRDF Estimation from a Single Image
Giuseppe Vecchio
S. Palazzo
C. Spampinato
GAN
16
37
0
23 Jul 2021
RewriteNet: Reliable Scene Text Editing with Implicit Decomposition of
  Text Contents and Styles
RewriteNet: Reliable Scene Text Editing with Implicit Decomposition of Text Contents and Styles
Junyeop Lee
Yoonsik Kim
Seonghyeon Kim
Moonbin Yim
Seung Shin
Gayoung Lee
Sungrae Park
DiffM
15
10
0
23 Jul 2021
Generative Models for Security: Attacks, Defenses, and Opportunities
Generative Models for Security: Attacks, Defenses, and Opportunities
L. A. Bauer
Vincent Bindschaedler
25
4
0
21 Jul 2021
Data synthesis and adversarial networks: A review and meta-analysis in
  cancer imaging
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
Richard Osuala
Kaisar Kushibar
Lidia Garrucho
Akis Linardos
Zuzanna Szafranowska
Stefan Klein
Ben Glocker
Oliver Díaz
Karim Lekadir
MedIm
39
42
0
20 Jul 2021
Visual-Tactile Cross-Modal Data Generation using Residue-Fusion GAN with
  Feature-Matching and Perceptual Losses
Visual-Tactile Cross-Modal Data Generation using Residue-Fusion GAN with Feature-Matching and Perceptual Losses
Shaoyu Cai
Kening Zhu
Yuki Ban
Takuji Narumi
28
37
0
12 Jul 2021
Deep Image Synthesis from Intuitive User Input: A Review and
  Perspectives
Deep Image Synthesis from Intuitive User Input: A Review and Perspectives
Yuan Xue
Yuanchen Guo
Han Zhang
Tao Xu
Song-Hai Zhang
Xiaolei Huang
EGVM
3DV
26
22
0
09 Jul 2021
A Survey on Adversarial Image Synthesis
William Roy
Glen Kelly
R. Leer
Frederick Ricardo
GAN
20
2
0
30 Jun 2021
A Survey on Neural Speech Synthesis
A Survey on Neural Speech Synthesis
Xu Tan
Tao Qin
Frank Soong
Tie-Yan Liu
AI4TS
18
352
0
29 Jun 2021
NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image
  Generation
NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation
Xiaohui Zeng
R. Urtasun
R. Zemel
Sanja Fidler
Renjie Liao
DiffM
11
2
0
25 Jun 2021
Diversifying Semantic Image Synthesis and Editing via Class- and
  Layer-wise VAEs
Diversifying Semantic Image Synthesis and Editing via Class- and Layer-wise VAEs
Yuki Endo
Yoshihiro Kanamori
19
6
0
25 Jun 2021
Q-space Conditioned Translation Networks for Directional Synthesis of
  Diffusion Weighted Images from Multi-modal Structural MRI
Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI
Mengwei Ren
Heejong Kim
Neel Dey
Guido Gerig
DiffM
MedIm
40
16
0
24 Jun 2021
Feature Alignment as a Generative Process
Feature Alignment as a Generative Process
T. S. Farias
Jonas Maziero
DiffM
BDL
21
1
0
23 Jun 2021
Universal Rate-Distortion-Perception Representations for Lossy
  Compression
Universal Rate-Distortion-Perception Representations for Lossy Compression
George Zhang
Jingjing Qian
Jun Chen
Ashish Khisti
21
66
0
18 Jun 2021
Reverse Engineering of Generative Models: Inferring Model
  Hyperparameters from Generated Images
Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images
Vishal Asnani
Xi Yin
Tal Hassner
Xiaoming Liu
28
65
0
15 Jun 2021
Face Age Progression With Attribute Manipulation
Face Age Progression With Attribute Manipulation
Sinzith Tatikonda
Athira M. Nambiar
Anurag Mittal
CVBM
25
1
0
14 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
Abhishek Sinha
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
30
118
0
12 Jun 2021
Conditional Variational Autoencoder with Adversarial Learning for
  End-to-End Text-to-Speech
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
Jaehyeon Kim
Jungil Kong
Juhee Son
DRL
86
843
0
11 Jun 2021
Towards Defending against Adversarial Examples via Attack-Invariant
  Features
Towards Defending against Adversarial Examples via Attack-Invariant Features
Dawei Zhou
Tongliang Liu
Bo Han
N. Wang
Chunlei Peng
Xinbo Gao
AAML
17
44
0
09 Jun 2021
NWT: Towards natural audio-to-video generation with representation
  learning
NWT: Towards natural audio-to-video generation with representation learning
Rayhane Mama
Marc S. Tyndel
Hashiam Kadhim
Cole Clifford
Ragavan Thurairatnam
VGen
29
12
0
08 Jun 2021
Hierarchical Video Generation for Complex Data
Hierarchical Video Generation for Complex Data
Lluis Castrejon
Nicolas Ballas
Aaron Courville
VGen
22
4
0
04 Jun 2021
Fre-GAN: Adversarial Frequency-consistent Audio Synthesis
Fre-GAN: Adversarial Frequency-consistent Audio Synthesis
Ji-Hoon Kim
Sang-Hoon Lee
Ji-Hyun Lee
Seong-Whan Lee
18
53
0
04 Jun 2021
CNNs and GANs in MRI-based cross-modality medical image estimation
CNNs and GANs in MRI-based cross-modality medical image estimation
Azin Shokraei Fard
David Reutens
Viktor Vegh
GAN
MedIm
29
1
0
04 Jun 2021
NVC-Net: End-to-End Adversarial Voice Conversion
NVC-Net: End-to-End Adversarial Voice Conversion
Bac Nguyen Cong
Fabien Cardinaux
AAML
37
41
0
02 Jun 2021
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