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

50 / 902 papers shown
Title
Learning Interpretable and Discrete Representations with Adversarial
  Training for Unsupervised Text Classification
Learning Interpretable and Discrete Representations with Adversarial Training for Unsupervised Text Classification
Yau-Shian Wang
Hung-yi Lee
Yun-Nung Chen
21
0
0
28 Apr 2020
A Disentangling Invertible Interpretation Network for Explaining Latent
  Representations
A Disentangling Invertible Interpretation Network for Explaining Latent Representations
Patrick Esser
Robin Rombach
Bjorn Ommer
14
86
0
27 Apr 2020
In-Vehicle Object Detection in the Wild for Driverless Vehicles
In-Vehicle Object Detection in the Wild for Driverless Vehicles
Ranjith Dinakaran
Li Zhang
Richard M. Jiang
16
2
0
27 Apr 2020
Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data
Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data
Ruchit Rawal
Prabhu Pradhan
20
1
0
26 Apr 2020
DeepFake Detection by Analyzing Convolutional Traces
DeepFake Detection by Analyzing Convolutional Traces
Luca Guarnera
O. Giudice
Sebastiano Battiato
CVBM
26
218
0
22 Apr 2020
Decomposed Adversarial Learned Inference
Decomposed Adversarial Learned Inference
Alexander Hanbo Li
Yaqing Wang
Changyou Chen
Jing Gao
DRL
11
4
0
21 Apr 2020
Variational Autoencoders with Normalizing Flow Decoders
Variational Autoencoders with Normalizing Flow Decoders
Rogan Morrow
Wei-Chen Chiu
DRL
4
19
0
12 Apr 2020
Autoencoding Generative Adversarial Networks
Autoencoding Generative Adversarial Networks
Conor Lazarou
GAN
25
15
0
11 Apr 2020
Adversarial Latent Autoencoders
Adversarial Latent Autoencoders
Stanislav Pidhorskyi
Donald Adjeroh
Gianfranco Doretto
GAN
DRL
51
259
0
09 Apr 2020
State of the Art on Neural Rendering
State of the Art on Neural Rendering
A. Tewari
Ohad Fried
Justus Thies
Vincent Sitzmann
Stephen Lombardi
...
Christian Theobalt
Maneesh Agrawala
Eli Shechtman
Dan B. Goldman
Michael Zollhöfer
3DH
3DV
39
466
0
08 Apr 2020
PatchVAE: Learning Local Latent Codes for Recognition
PatchVAE: Learning Local Latent Codes for Recognition
Kamal Gupta
Saurabh Singh
Abhinav Shrivastava
SSL
DRL
14
20
0
07 Apr 2020
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A
  Comparative Study
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
Christoph Baur
Stefan Denner
Benedikt Wiestler
Shadi Albarqouni
Nassir Navab
OOD
27
283
0
07 Apr 2020
Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood
  Estimation
Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood Estimation
Ke Li
Shichong Peng
Tianhao Zhang
Jitendra Malik
GAN
9
23
0
07 Apr 2020
Temporarily-Aware Context Modelling using Generative Adversarial
  Networks for Speech Activity Detection
Temporarily-Aware Context Modelling using Generative Adversarial Networks for Speech Activity Detection
Tharindu Fernando
Sridha Sridharan
Mitchell McLaren
Darshana Priyasad
Simon Denman
Clinton Fookes
14
5
0
02 Apr 2020
Distance in Latent Space as Novelty Measure
Distance in Latent Space as Novelty Measure
M. P. Philipsen
T. Moeslund
30
0
0
31 Mar 2020
Machine learning as a model for cultural learning: Teaching an algorithm
  what it means to be fat
Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat
Alina Arseniev-Koehler
J. Foster
43
46
0
24 Mar 2020
Pretraining Image Encoders without Reconstruction via Feature Prediction
  Loss
Pretraining Image Encoders without Reconstruction via Feature Prediction Loss
G. Pihlgren
Fredrik Sandin
Marcus Liwicki
18
3
0
16 Mar 2020
Synthesizing human-like sketches from natural images using a conditional
  convolutional decoder
Synthesizing human-like sketches from natural images using a conditional convolutional decoder
Moritz Kampelmühler
A. Pinz
24
17
0
16 Mar 2020
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty
  Detection
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection
Mohammadreza Salehi
Atrin Arya
Barbod Pajoum
Mohammad Otoofi
Amirreza Shaeiri
M. Rohban
Hamid R. Rabiee
AAML
29
62
0
12 Mar 2020
Variational Auto-Encoder: not all failures are equal
Variational Auto-Encoder: not all failures are equal
Michele Sebag
Victor Berger
Michèle Sebag
DRL
13
4
0
04 Mar 2020
Warwick Electron Microscopy Datasets
Warwick Electron Microscopy Datasets
Jeffrey M. Ede
30
14
0
02 Mar 2020
Deep Meditations: Controlled navigation of latent space
Deep Meditations: Controlled navigation of latent space
Memo Akten
R. Fiebrink
M. Grierson
VGen
DiffM
12
3
0
27 Feb 2020
Controllable Level Blending between Games using Variational Autoencoders
Controllable Level Blending between Games using Variational Autoencoders
Anurag Sarkar
Zhihan Yang
Seth Cooper
GAN
DRL
14
32
0
27 Feb 2020
Bidirectional Generative Modeling Using Adversarial Gradient Estimation
Bidirectional Generative Modeling Using Adversarial Gradient Estimation
Xinwei Shen
Tong Zhang
Kani Chen
GAN
30
9
0
21 Feb 2020
A Novel Framework for Selection of GANs for an Application
A Novel Framework for Selection of GANs for an Application
Tanya Motwani
Manojkumar Somabhai Parmar
27
8
0
20 Feb 2020
A Survey on Deep Geometry Learning: From a Representation Perspective
A Survey on Deep Geometry Learning: From a Representation Perspective
Yun-Peng Xiao
Yu-Kun Lai
Fang-Lue Zhang
Chunpeng Li
Lin Gao
3DH
AI4TS
40
100
0
19 Feb 2020
Controlled time series generation for automotive software-in-the-loop
  testing using GANs
Controlled time series generation for automotive software-in-the-loop testing using GANs
Dhasarathy Parthasarathy
Karl Bäckström
Jens Henriksson
S. Einarsdóttir
7
12
0
16 Feb 2020
Manifold-based Test Generation for Image Classifiers
Manifold-based Test Generation for Image Classifiers
Taejoon Byun
Abhishek Vijayakumar
Sanjai Rayadurgam
D. Cofer
18
9
0
15 Feb 2020
EndoL2H: Deep Super-Resolution for Capsule Endoscopy
EndoL2H: Deep Super-Resolution for Capsule Endoscopy
Yasin Almalioglu
Kutsev Bengisu Ozyoruk
Abdulkadir Gokce
Kagan Incetan
Guliz Irem Gokceler
...
K. Ararat
Richard J. Chen
Nicholas J. Durr
Faisal Mahmood
Mehmet Turan
MedIm
25
38
0
13 Feb 2020
HRINet: Alternative Supervision Network for High-resolution CT image
  Interpolation
HRINet: Alternative Supervision Network for High-resolution CT image Interpolation
Jiawei Li
Jae Chul Koh
Won-sook Lee
MedIm
13
8
0
11 Feb 2020
Unconstrained Periocular Recognition: Using Generative Deep Learning
  Frameworks for Attribute Normalization
Unconstrained Periocular Recognition: Using Generative Deep Learning Frameworks for Attribute Normalization
L. A. Zanlorensi
Hugo Manuel Proença
David Menotti
CVBM
9
13
0
10 Feb 2020
Manifold for Machine Learning Assurance
Manifold for Machine Learning Assurance
Taejoon Byun
Sanjai Rayadurgam
44
29
0
08 Feb 2020
Local Facial Attribute Transfer through Inpainting
Local Facial Attribute Transfer through Inpainting
Ricard Durall
Franz-Josef Pfreundt
J. Keuper
CVBM
GAN
21
3
0
07 Feb 2020
Unbalanced GANs: Pre-training the Generator of Generative Adversarial
  Network using Variational Autoencoder
Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder
Hyung-Gi Ham
Tae Joon Jun
Daeyoung Kim
DRL
GAN
19
21
0
06 Feb 2020
Adversarial Code Learning for Image Generation
Adversarial Code Learning for Image Generation
Jiangbo Yuan
Bing Wu
Wanying Ding
Q. Ping
Zhendong Yu
GAN
28
0
0
30 Jan 2020
Controlling generative models with continuous factors of variations
Controlling generative models with continuous factors of variations
Antoine Plumerault
Hervé Le Borgne
C´eline Hudelot
DRL
30
127
0
28 Jan 2020
Toward a Controllable Disentanglement Network
Toward a Controllable Disentanglement Network
Zengjie Song
Oluwasanmi Koyejo
Jiangshe Zhang
DRL
26
3
0
22 Jan 2020
Unsupervised Representation Disentanglement using Cross Domain Features
  and Adversarial Learning in Variational Autoencoder based Voice Conversion
Unsupervised Representation Disentanglement using Cross Domain Features and Adversarial Learning in Variational Autoencoder based Voice Conversion
Wen-Chin Huang
Hao Luo
Hsin-Te Hwang
Chen-Chou Lo
Yu-Huai Peng
Yu Tsao
Hsin-Min Wang
DRL
17
42
0
22 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
33
821
0
20 Jan 2020
OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning
OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning
Shuo Wang
Tianle Chen
Shangyu Chen
Carsten Rudolph
Surya Nepal
M. Grobler
19
4
0
18 Jan 2020
Learning to Augment Expressions for Few-shot Fine-grained Facial
  Expression Recognition
Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition
Wenxuan Wang
Yanwei Fu
Qiang Sun
Tao Chen
Chenjie Cao
Ziqi Zheng
Guoqiang Xu
Han Qiu
Yu-Gang Jiang
Xiangyang Xue
CVBM
29
14
0
17 Jan 2020
SimEx: Express Prediction of Inter-dataset Similarity by a Fleet of
  Autoencoders
SimEx: Express Prediction of Inter-dataset Similarity by a Fleet of Autoencoders
Inseok Hwang
Jinho Lee
Frank Liu
Minsik Cho
15
5
0
14 Jan 2020
180-degree Outpainting from a Single Image
180-degree Outpainting from a Single Image
Zhenqiang Ying
A. Bovik
16
7
0
13 Jan 2020
Quantum device fine-tuning using unsupervised embedding learning
Quantum device fine-tuning using unsupervised embedding learning
N. V. Esbroeck
D. Lennon
H. Moon
Vu-Linh Nguyen
F. Vigneau
...
L. Yu
D. Zumbuhl
G. Briggs
D. Sejdinovic
N. Ares
14
29
0
13 Jan 2020
High-Fidelity Synthesis with Disentangled Representation
High-Fidelity Synthesis with Disentangled Representation
Wonkwang Lee
Donggyun Kim
Seunghoon Hong
Honglak Lee
DRL
24
66
0
13 Jan 2020
AE-OT-GAN: Training GANs from data specific latent distribution
AE-OT-GAN: Training GANs from data specific latent distribution
Dongsheng An
Yang Guo
Min Zhang
Xin Qi
Na Lei
S. Yau
X. Gu
DRL
GAN
29
24
0
11 Jan 2020
Improving Image Autoencoder Embeddings with Perceptual Loss
Improving Image Autoencoder Embeddings with Perceptual Loss
G. Pihlgren
Fredrik Sandin
Marcus Liwicki
25
33
0
10 Jan 2020
Spherical Image Generation from a Single Normal Field of View Image by
  Considering Scene Symmetry
Spherical Image Generation from a Single Normal Field of View Image by Considering Scene Symmetry
T. Hara
Tatsuya Harada
16
6
0
09 Jan 2020
Generating Semantic Adversarial Examples via Feature Manipulation
Generating Semantic Adversarial Examples via Feature Manipulation
Shuo Wang
Surya Nepal
Carsten Rudolph
M. Grobler
Shangyu Chen
Tianle Chen
AAML
31
12
0
06 Jan 2020
Deep Unsupervised Common Representation Learning for LiDAR and Camera
  Data using Double Siamese Networks
Deep Unsupervised Common Representation Learning for LiDAR and Camera Data using Double Siamese Networks
A. Bühler
Niclas Vodisch
Mathias Bürki
Lukas Schaupp
SSL
3DPC
23
1
0
03 Jan 2020
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