Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2011.10063
Cited By
Dual Contradistinctive Generative Autoencoder
Computer Vision and Pattern Recognition (CVPR), 2020
19 November 2020
Gaurav Parmar
Dacheng Li
Kwonjoon Lee
Zhuowen Tu
GAN
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Dual Contradistinctive Generative Autoencoder"
50 / 56 papers shown
Exploring Image Generation via Mutually Exclusive Probability Spaces and Local Correlation Hypothesis
Chenqiu Zhao
Anup Basu
291
0
0
26 Jun 2025
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching
Junn Yong Loo
Michelle Adeline
Julia Kaiwen Lau
Fang Yu Leong
Hwa Hui Tew
Arghya Pal
Vishnu Monn Baskaran
Chee-Ming Ting
Raphaël C.-W. Phan
BDL
361
2
0
22 Apr 2025
CGI: Identifying Conditional Generative Models with Example Images
International Joint Conference on Artificial Intelligence (IJCAI), 2025
Zhi Zhou
Hao-Zhe Tan
Peng-Xiao Song
Lan-Zhe Guo
DiffM
424
0
0
23 Jan 2025
Generative Modelling with High-Order Langevin Dynamics
Ziqiang Shi
Rujie Liu
DiffM
521
4
0
03 Jan 2025
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling
Junn Yong Loo
Michelle Adeline
Arghya Pal
Vishnu Monn Baskaran
Chee-Ming Ting
Raphaël C.-W. Phan
DiffM
360
0
0
21 Jul 2024
Tissue-Contrastive Semi-Masked Autoencoders for Segmentation Pretraining on Chest CT
Jie Zheng
Ru Wen
Haiqin Hu
Lina Wei
Kui Su
Wei Chen
Chen Liu
Jun Wang
369
1
0
12 Jul 2024
Entropy-Informed Weighting Channel Normalizing Flow for Deep Generative Models
Wei Chen
Shian Du
Shigui Li
Delu Zeng
John Paisley
247
0
0
06 Jul 2024
Glauber Generative Model: Discrete Diffusion Models via Binary Classification
Harshit Varma
Dheeraj M. Nagaraj
Karthikeyan Shanmugam
VLM
570
10
0
27 May 2024
MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning
IEEE journal of biomedical and health informatics (IEEE JBHI), 2024
Azad Singh
Vandan Gorade
Deepak Mishra
SSL
274
7
0
18 Mar 2024
Towards Controllable Time Series Generation
Yifan Bao
Yihao Ang
Qiang Huang
Anthony K. H. Tung
Zhiyong Huang
DiffM
428
8
0
06 Mar 2024
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
Jaemoo Choi
Jaewoong Choi
Myungjoo Kang
510
19
0
08 Feb 2024
Improving Diffusion-Based Image Synthesis with Context Prediction
Neural Information Processing Systems (NeurIPS), 2024
Ling Yang
Jingwei Liu
Shenda Hong
Zhilong Zhang
Zhilin Huang
Zheming Cai
Wentao Zhang
Tengjiao Wang
DiffM
294
56
0
04 Jan 2024
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2023
Fei Kong
Jinhao Duan
Lichao Sun
Hao-Ran Cheng
Renjing Xu
Hengtao Shen
Xiao-lan Zhu
Xiaoshuang Shi
Kaidi Xu
340
6
0
23 Nov 2023
The Challenges of Image Generation Models in Generating Multi-Component Images
Tham Yik Foong
Shashank Kotyan
Poyuan Mao
Danilo Vasconcellos Vargas
EGVM
270
2
0
22 Nov 2023
Energy-Calibrated VAE with Test Time Free Lunch
European Conference on Computer Vision (ECCV), 2023
Yihong Luo
Si-Huang Qiu
Xingjian Tao
Yujun Cai
Jing Tang
737
4
0
07 Nov 2023
Efficient-VQGAN: Towards High-Resolution Image Generation with Efficient Vision Transformers
IEEE International Conference on Computer Vision (ICCV), 2023
Shiyue Cao
Yueqin Yin
Lianghua Huang
Yu Liu
Xin Zhao
Deli Zhao
Kaiqi Huang
ViT
332
33
0
09 Oct 2023
Analyzing and Improving Optimal-Transport-based Adversarial Networks
International Conference on Learning Representations (ICLR), 2023
Jaemoo Choi
Jaewoong Choi
Myungjoo Kang
OT
382
7
0
04 Oct 2023
DataDAM: Efficient Dataset Distillation with Attention Matching
IEEE International Conference on Computer Vision (ICCV), 2023
A. Sajedi
Samir Khaki
Ehsan Amjadian
Lucy Z. Liu
Y. Lawryshyn
Konstantinos N. Plataniotis
DD
960
104
0
29 Sep 2023
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood
International Conference on Learning Representations (ICLR), 2023
Y. Zhu
Jianwen Xie
Yingnian Wu
Ruiqi Gao
DiffM
767
18
0
10 Sep 2023
MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask
International Journal of Computer Vision (IJCV), 2023
Yupeng Zhou
Daquan Zhou
Zuo-Liang Zhu
Yaxing Wang
Qibin Hou
Jiashi Feng
193
14
0
08 Sep 2023
Diffusion Models with Deterministic Normalizing Flow Priors
Mohsen Zand
Ali Etemad
Michael A. Greenspan
DiffM
469
7
0
03 Sep 2023
Contrast-augmented Diffusion Model with Fine-grained Sequence Alignment for Markup-to-Image Generation
ACM Multimedia (ACM MM), 2023
Guojin Zhong
Jin Yuan
Pan Wang
Kailun Yang
Weili Guan
Zhiyong Li
DiffM
195
9
0
02 Aug 2023
Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications
Peter Tu
Zhaoyuan Yang
Leonid Sigal
Zhiwei Xu
Jing Zhang
Yiwei Fu
Dylan Campbell
Jaskirat Singh
Tianyu Wang
DiffM
612
2
0
06 Jul 2023
Semi-Implicit Denoising Diffusion Models (SIDDMs)
Neural Information Processing Systems (NeurIPS), 2023
Yanwu Xu
Min Gong
Shaoan Xie
Wei Wei
Matthias Grundmann
Kayhan Batmanghelich
Tingbo Hou
DiffM
225
26
0
21 Jun 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
Neural Information Processing Systems (NeurIPS), 2023
Jaemoo Choi
Jaewoong Choi
Myung-joo Kang
OT
716
36
0
24 May 2023
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training
Computer Vision and Pattern Recognition (CVPR), 2023
Aadithya Srikanth
C. Seelamantula
GAN
486
5
0
12 May 2023
Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencoder
Computer Vision and Pattern Recognition (CVPR), 2023
Xinmiao Lin
Yikang Li
Jenhao Hsiao
C. Ho
Yu Kong
396
34
0
04 May 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck
Computer Vision and Pattern Recognition (CVPR), 2023
Jongheon Jeong
Sihyun Yu
Hankook Lee
Jinwoo Shin
AAML
199
1
0
24 Mar 2023
Consistency Models
International Conference on Machine Learning (ICML), 2023
Yang Song
Prafulla Dhariwal
Mark Chen
Ilya Sutskever
VLM
DiffM
758
1,644
0
02 Mar 2023
Restoration based Generative Models
International Conference on Machine Learning (ICML), 2023
Jaemoo Choi
Yesom Park
Myung-joo Kang
DiffM
AI4CE
267
5
0
20 Feb 2023
Closed-Loop Transcription via Convolutional Sparse Coding
Xili Dai
Kai Chen
Shengbang Tong
Jingyuan Zhang
Xingjian Gao
...
Yuexiang Zhai
Xiaojun Yuan
H. Shum
L. Ni
Yi Ma
DiffM
DRL
276
6
0
18 Feb 2023
A Two-Stage Deep Representation Learning-Based Speech Enhancement Method Using Variational Autoencoder and Adversarial Training
IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022
Yang Xiang
Jesper Lisby Højvang
M. Rasmussen
M. G. Christensen
DRL
220
7
0
16 Nov 2022
Super-resolution Reconstruction of Single Image for Latent features
Computational Visual Media (CVM), 2022
Xin Wang
Jingkai Yan
Jingyong Cai
Jiankang Deng
Qin Qin
Yao Cheng
DiffM
362
11
0
16 Nov 2022
DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation
British Machine Vision Conference (BMVC), 2022
Azade Farshad
Yousef Yeganeh
Helisa Dhamo
F. Tombari
Nassir Navab
DiffM
OCL
DRL
CoGe
308
4
0
10 Nov 2022
Unsupervised Learning of Structured Representations via Closed-Loop Transcription
Shengbang Tong
Xili Dai
Yubei Chen
Mingyang Li
Zengyi Li
Brent Yi
Yann LeCun
Yi Ma
SSL
DRL
321
9
0
30 Oct 2022
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion
European Conference on Computer Vision (ECCV), 2022
Fabian Duffhauss
Ngo Anh Vien
Hanna Ziesche
Gerhard Neumann
196
11
0
22 Sep 2022
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis
AAAI Conference on Artificial Intelligence (AAAI), 2022
Wanshu Fan
Yen-Chun Chen
Dongdong Chen
Yu Cheng
Lu Yuan
Yu-Chiang Frank Wang
DiffM
350
117
0
29 Aug 2022
SPI-GAN: Denoising Diffusion GANs with Straight-Path Interpolations
Jinsung Jeon
Noseong Park
DiffM
310
1
0
29 Jun 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Neural Information Processing Systems (NeurIPS), 2022
Dongjun Kim
Byeonghu Na
S. Kwon
Dongsoo Lee
Wanmo Kang
Il-Chul Moon
DiffM
727
61
0
27 May 2022
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis
Computer Vision and Pattern Recognition (CVPR), 2022
F. Haghighi
M. Taher
Michael B. Gotway
Jianming Liang
MedIm
328
86
0
21 Apr 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
Kushagra Pandey
Avideep Mukherjee
Piyush Rai
Abhishek Kumar
DiffM
630
149
0
02 Jan 2022
Beta-VAE Reproducibility: Challenges and Extensions
M. Fil
Munib Mesinovic
Matthew Morris
J. Wildberger
DRL
247
16
0
28 Dec 2021
Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications
Jin Li
B. Cairns
Jingsong Li
T. Zhu
SyDa
331
118
0
22 Dec 2021
High-Resolution Image Synthesis with Latent Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2021
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
DiffM
4.7K
23,267
0
20 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao
Karsten Kreis
Arash Vahdat
DiffM
538
709
0
15 Dec 2021
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn
Arash Vahdat
Karsten Kreis
DiffM
785
274
0
14 Dec 2021
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation
Minghui Hu
Yujie Wang
Tat-Jen Cham
Jianfei Yang
P.N.Suganthan
DiffM
217
53
0
03 Dec 2021
Scalable Variational Quantum Circuits for Autoencoder-based Drug Discovery
Design, Automation and Test in Europe (DATE), 2021
Junde Li
Swaroop Ghosh
BDL
DRL
258
17
0
15 Nov 2021
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
Xili Dai
Shengbang Tong
Mingyang Li
Ziyang Wu
Michael Psenka
...
Pengyuan Zhai
Yaodong Yu
Xiaojun Yuan
Harry Shum
Yi-An Ma
312
32
0
12 Nov 2021
Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE
Devansh Arpit
Aadyot Bhatnagar
Huan Wang
Caiming Xiong
179
1
0
19 Oct 2021
1
2
Next
Page 1 of 2
