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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 / 900 papers shown
Title
Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with
  Diffusion Model for Blind Image Super-Resolution
Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution
Junxiong Lin
Yan Wang
Zeng Tao
Boyang Wang
Qing Zhao
...
Yuxuan Lin
Wei Song
Jiawen Yu
Shaoqi Yan
Wenqiang Zhang
29
2
0
09 Mar 2024
Gradient-free neural topology optimization
Gradient-free neural topology optimization
Gaweł Kuś
Miguel A. Bessa
AI4CE
35
0
0
07 Mar 2024
Unified Generation, Reconstruction, and Representation: Generalized
  Diffusion with Adaptive Latent Encoding-Decoding
Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding
Guangyi Liu
Yu Wang
Zeyu Feng
Qiyu Wu
Liping Tang
...
Shuguang Cui
Julian McAuley
Zichao Yang
Eric P. Xing
Zhiting Hu
DiffM
80
3
0
29 Feb 2024
Generative AI for Secure Physical Layer Communications: A Survey
Generative AI for Secure Physical Layer Communications: A Survey
Changyuan Zhao
Hongyang Du
Dusit Niyato
Jiawen Kang
Zehui Xiong
Dong In Kim
Xuemin
X. Shen
K. B. Letaief
69
19
0
21 Feb 2024
Data-Free Generalized Zero-Shot Learning
Data-Free Generalized Zero-Shot Learning
Bowen Tang
Long Yan
Jing Zhang
Qian Yu
Lu Sheng
Dong Xu
VLM
39
11
0
28 Jan 2024
Rethinking Patch Dependence for Masked Autoencoders
Rethinking Patch Dependence for Masked Autoencoders
Letian Fu
Long Lian
Renhao Wang
Baifeng Shi
Xudong Wang
Adam Yala
Trevor Darrell
Alexei A. Efros
Ken Goldberg
34
14
0
25 Jan 2024
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
Yumeng Li
M. Keuper
Dan Zhang
Anna Khoreva
DiffM
43
10
0
16 Jan 2024
A Physics-informed machine learning model for time-dependent wave runup
  prediction
A Physics-informed machine learning model for time-dependent wave runup prediction
Saeed Saviz Naeini
Reda Snaiki
AI4CE
19
2
0
12 Jan 2024
Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy
Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy
Weijian Mai
Jian Zhang
Pengfei Fang
Zhijun Zhang
54
9
0
31 Dec 2023
SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning
SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning
William Heyden
Habib Ullah
M. Salman Siddiqui
Fadi Al Machot
VLM
41
0
0
20 Dec 2023
Balanced Marginal and Joint Distributional Learning via Mixture
  Cramer-Wold Distance
Balanced Marginal and Joint Distributional Learning via Mixture Cramer-Wold Distance
SeungHwan An
Sungchul Hong
Jong-June Jeon
27
0
0
06 Dec 2023
ELF: Encoding Speaker-Specific Latent Speech Feature for Speech
  Synthesis
ELF: Encoding Speaker-Specific Latent Speech Feature for Speech Synthesis
Jungil Kong
Junmo Lee
Jeongmin Kim
Beomjeong Kim
Jihoon Park
Dohee Kong
Changheon Lee
Sangjin Kim
25
1
0
20 Nov 2023
TURBO: The Swiss Knife of Auto-Encoders
TURBO: The Swiss Knife of Auto-Encoders
Guillaume Quétant
Yury Belousov
Vitaliy Kinakh
Slava Voloshynovskiy
26
6
0
11 Nov 2023
Proceedings of the 5th International Workshop on Reading Music Systems
Proceedings of the 5th International Workshop on Reading Music Systems
Jorge Calvo-Zaragoza
Alexander Pacha
Elona Shatri
27
0
0
07 Nov 2023
inkn'hue: Enhancing Manga Colorization from Multiple Priors with
  Alignment Multi-Encoder VAE
inkn'hue: Enhancing Manga Colorization from Multiple Priors with Alignment Multi-Encoder VAE
Tawin Jiramahapokee
32
2
0
03 Nov 2023
Medical Image Segmentation with Domain Adaptation: A Survey
Medical Image Segmentation with Domain Adaptation: A Survey
Yuemeng Li
Yong-Xian Fan
OOD
26
3
0
03 Nov 2023
Monotone Generative Modeling via a Gromov-Monge Embedding
Monotone Generative Modeling via a Gromov-Monge Embedding
Wonjun Lee
Yifei Yang
Dongmian Zou
Gilad Lerman
GAN
44
2
0
02 Nov 2023
Style Description based Text-to-Speech with Conditional Prosodic Layer
  Normalization based Diffusion GAN
Style Description based Text-to-Speech with Conditional Prosodic Layer Normalization based Diffusion GAN
Neeraj Kumar
Ankur Narang
Brejesh Lall
DiffM
26
0
0
27 Oct 2023
Adversarial Anomaly Detection using Gaussian Priors and Nonlinear
  Anomaly Scores
Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly Scores
Fiete Lüer
Tobias Weber
Maxim Dolgich
Christian Böhm
31
1
0
27 Oct 2023
Vec-Tok Speech: speech vectorization and tokenization for neural speech
  generation
Vec-Tok Speech: speech vectorization and tokenization for neural speech generation
Xinfa Zhu
Yuanjun Lv
Yinjiao Lei
Tao Li
Wendi He
Hongbin Zhou
Heng Lu
Lei Xie
40
16
0
11 Oct 2023
Metadata-Conditioned Generative Models to Synthesize
  Anatomically-Plausible 3D Brain MRIs
Metadata-Conditioned Generative Models to Synthesize Anatomically-Plausible 3D Brain MRIs
Wei Peng
Tomas Bosschieter
J. Ouyang
Robert Paul
Ehsan Adeli
Qingyu Zhao
K. Pohl
MedIm
38
9
0
07 Oct 2023
Deep Learning in Deterministic Computational Mechanics
Deep Learning in Deterministic Computational Mechanics
L. Herrmann
Stefan Kollmannsberger
AI4CE
PINN
43
0
0
27 Sep 2023
How to train your VAE
How to train your VAE
Mariano Rivera
DRL
13
1
0
22 Sep 2023
Learning Nonparametric High-Dimensional Generative Models: The
  Empirical-Beta-Copula Autoencoder
Learning Nonparametric High-Dimensional Generative Models: The Empirical-Beta-Copula Autoencoder
Maximilian Coblenz
Oliver Grothe
Fabian Kächele
SyDa
DRL
36
1
0
18 Sep 2023
Deep conditional generative models for longitudinal single-slice
  abdominal computed tomography harmonization
Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization
Xin Yu
Qi Yang
Yucheng Tang
Riqiang Gao
Shunxing Bao
...
Ho Hin Lee
Yuankai Huo
A. Moore
Luigi Ferrucci
Bennett A. Landman
26
2
0
17 Sep 2023
A Bayesian Non-parametric Approach to Generative Models: Integrating
  Variational Autoencoder and Generative Adversarial Networks using Wasserstein
  and Maximum Mean Discrepancy
A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy
Forough Fazeli Asl
M. Zhang
GAN
24
1
0
27 Aug 2023
Exploiting Time-Frequency Conformers for Music Audio Enhancement
Exploiting Time-Frequency Conformers for Music Audio Enhancement
Yunkee Chae
Junghyun Koo
Sungho Lee
Kyogu Lee
30
3
0
24 Aug 2023
Physics-guided training of GAN to improve accuracy in airfoil design
  synthesis
Physics-guided training of GAN to improve accuracy in airfoil design synthesis
Kazunari Wada
Katsuyuki Suzuki
Kazuo Yonekura
AI4CE
32
11
0
19 Aug 2023
iSTFTNet2: Faster and More Lightweight iSTFT-Based Neural Vocoder Using
  1D-2D CNN
iSTFTNet2: Faster and More Lightweight iSTFT-Based Neural Vocoder Using 1D-2D CNN
Takuhiro Kaneko
Hirokazu Kameoka
Kou Tanaka
Shogo Seki
33
4
0
14 Aug 2023
Generative Adversarial Networks for Stain Normalisation in
  Histopathology
Generative Adversarial Networks for Stain Normalisation in Histopathology
Jack Breen
K. Zucker
Katie Allen
Nishant Ravikumar
Nicolas M. Orsi
GAN
MedIm
28
1
0
05 Aug 2023
Deep Learning Approaches for Data Augmentation in Medical Imaging: A
  Review
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review
Aghiles Kebaili
J. Lapuyade-Lahorgue
S. Ruan
MedIm
21
143
0
24 Jul 2023
Patch-Wise Point Cloud Generation: A Divide-and-Conquer Approach
Patch-Wise Point Cloud Generation: A Divide-and-Conquer Approach
Cheng Wen
Baosheng Yu
Rao Fu
Dacheng Tao
3DPC
32
1
0
22 Jul 2023
Complexity Matters: Rethinking the Latent Space for Generative Modeling
Complexity Matters: Rethinking the Latent Space for Generative Modeling
Tianyang Hu
Fei Chen
Hong Wang
Jiawei Li
Wei Cao
Jiacheng Sun
Zechao Li
DiffM
27
8
0
17 Jul 2023
S-HR-VQVAE: Sequential Hierarchical Residual Learning Vector Quantized
  Variational Autoencoder for Video Prediction
S-HR-VQVAE: Sequential Hierarchical Residual Learning Vector Quantized Variational Autoencoder for Video Prediction
Mohammad Adiban
Kalin Stefanov
Sabato Marco Siniscalchi
G. Salvi
28
2
0
13 Jul 2023
Data-driven Nonlinear Parametric Model Order Reduction Framework using
  Deep Hierarchical Variational Autoencoder
Data-driven Nonlinear Parametric Model Order Reduction Framework using Deep Hierarchical Variational Autoencoder
Sihun Lee
Sangmin Lee
Ki-Hyun Jang
Haeseong Cho
Sang-Joon Shin
13
6
0
10 Jul 2023
Joint Level Generation and Translation Using Gameplay Videos
Joint Level Generation and Translation Using Gameplay Videos
Negar Mirgati
Matthew J. Guzdial
VGen
29
0
0
29 Jun 2023
Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using
  Noise-preserving Conditional GANs
Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs
Thomas Pinetz
Erich Kobler
Robert Haase
K. Deike-Hofmann
A. Radbruch
Alexander Effland
MedIm
24
6
0
26 Jun 2023
HiddenSinger: High-Quality Singing Voice Synthesis via Neural Audio
  Codec and Latent Diffusion Models
HiddenSinger: High-Quality Singing Voice Synthesis via Neural Audio Codec and Latent Diffusion Models
Ji-Sang Hwang
Sang-Hoon Lee
Seong-Whan Lee
DiffM
38
8
0
12 Jun 2023
Synthesizing Affective Neurophysiological Signals Using Generative
  Models: A Review Paper
Synthesizing Affective Neurophysiological Signals Using Generative Models: A Review Paper
A. F. Nia
Vanessa Tang
G. M. Talou
Mark Billinghurst
29
4
0
05 Jun 2023
In-the-wild Speech Emotion Conversion Using Disentangled Self-Supervised
  Representations and Neural Vocoder-based Resynthesis
In-the-wild Speech Emotion Conversion Using Disentangled Self-Supervised Representations and Neural Vocoder-based Resynthesis
N. Prabhu
N. Lehmann-Willenbrock
Timo Gerkmann
29
3
0
02 Jun 2023
An Overview on Generative AI at Scale with Edge-Cloud Computing
An Overview on Generative AI at Scale with Edge-Cloud Computing
Yun Cheng Wang
Jintang Xue
Chengwei Wei
C.-C. Jay Kuo
24
30
0
02 Jun 2023
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly
  Detection with Scale Learning
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning
Hongzuo Xu
Yijie Wang
Juhui Wei
Songlei Jian
Yizhou Li
Ninghui Liu
30
30
0
25 May 2023
KARNet: Kalman Filter Augmented Recurrent Neural Network for Learning
  World Models in Autonomous Driving Tasks
KARNet: Kalman Filter Augmented Recurrent Neural Network for Learning World Models in Autonomous Driving Tasks
Hemanth Manjunatha
A. Pak
Dimitar Filev
Panagiotis Tsiotras
25
5
0
24 May 2023
A One-Class Classifier for the Detection of GAN Manipulated
  Multi-Spectral Satellite Images
A One-Class Classifier for the Detection of GAN Manipulated Multi-Spectral Satellite Images
Lydia Abady
Giovanna Maria Dimitri
Mauro Barni
38
3
0
19 May 2023
JoIN: Joint GANs Inversion for Intrinsic Image Decomposition
JoIN: Joint GANs Inversion for Intrinsic Image Decomposition
Viraj Shah
Svetlana Lazebnik
Julien Philip
GAN
41
2
0
18 May 2023
Vaxformer: Antigenicity-controlled Transformer for Vaccine Design
  Against SARS-CoV-2
Vaxformer: Antigenicity-controlled Transformer for Vaccine Design Against SARS-CoV-2
Aryo Pradipta Gema
Michal Kobiela
Achille Fraisse
A. Rajan
Diego A. Oyarzún
J. Alfaro
16
1
0
18 May 2023
Smart Home Energy Management: VAE-GAN synthetic dataset generator and
  Q-learning
Smart Home Energy Management: VAE-GAN synthetic dataset generator and Q-learning
Mina Razghandi
Hao Zhou
Melike Erol-Kantarci
D. Turgut
34
21
0
14 May 2023
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training
Siddarth Asokan
C. Seelamantula
GAN
69
1
0
12 May 2023
A multimodal dynamical variational autoencoder for audiovisual speech
  representation learning
A multimodal dynamical variational autoencoder for audiovisual speech representation learning
Samir Sadok
Simon Leglaive
Laurent Girin
Xavier Alameda-Pineda
Renaud Séguier
33
11
0
05 May 2023
LayoutDM: Transformer-based Diffusion Model for Layout Generation
LayoutDM: Transformer-based Diffusion Model for Layout Generation
Shang Chai
Liansheng Zhuang
Feng Yan
DiffM
34
53
0
04 May 2023
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