ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2004.01255
  4. Cited By
Guided Variational Autoencoder for Disentanglement Learning

Guided Variational Autoencoder for Disentanglement Learning

2 April 2020
Zheng Ding
Yifan Xu
Weijian Xu
Gaurav Parmar
Yang Yang
Max Welling
Z. Tu
    DRL
    CoGe
ArXivPDFHTML

Papers citing "Guided Variational Autoencoder for Disentanglement Learning"

14 / 14 papers shown
Title
Unsupervised Representation Learning from Sparse Transformation Analysis
Unsupervised Representation Learning from Sparse Transformation Analysis
Yue Song
Thomas Anderson Keller
Yisong Yue
Pietro Perona
Max Welling
DRL
29
0
0
07 Oct 2024
Towards Controllable Time Series Generation
Towards Controllable Time Series Generation
Yifan Bao
Yihao Ang
Qiang Huang
Anthony K. H. Tung
Zhiyong Huang
DiffM
30
4
0
06 Mar 2024
Representation Synthesis by Probabilistic Many-Valued Logic Operation in
  Self-Supervised Learning
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning
Hiroki Nakamura
Masashi Okada
T. Taniguchi
SSL
NAI
23
0
0
08 Sep 2023
NAISR: A 3D Neural Additive Model for Interpretable Shape Representation
NAISR: A 3D Neural Additive Model for Interpretable Shape Representation
Yining Jiao
C. Zdanski
Julia Kimbell
Andrew Prince
Cameron P Worden
...
Christopher Rutter
Benjamin Shields
William Dunn
Jisan Mahmud
Marc Niethammer
34
3
0
16 Mar 2023
Predicting Human Mobility via Self-supervised Disentanglement Learning
Predicting Human Mobility via Self-supervised Disentanglement Learning
Qiang Gao
Jinyung Hong
Xovee Xu
Ping Kuang
Fan Zhou
Goce Trajcevski
18
12
0
17 Nov 2022
Gromov-Wasserstein Autoencoders
Gromov-Wasserstein Autoencoders
Nao Nakagawa
Ren Togo
Takahiro Ogawa
Miki Haseyama
GAN
DRL
13
11
0
15 Sep 2022
Domain Invariant Model with Graph Convolutional Network for Mammogram
  Classification
Domain Invariant Model with Graph Convolutional Network for Mammogram Classification
Chu-ran Wang
Jing Li
Xinwei Sun
Fandong Zhang
Yizhou Yu
Yizhou Wang
MedIm
OOD
22
2
0
21 Apr 2022
Attri-VAE: attribute-based interpretable representations of medical
  images with variational autoencoders
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders
Irem Cetin
Maialen Stephens
Oscar Camara
M. A. G. Ballester
DRL
27
39
0
20 Mar 2022
Action2video: Generating Videos of Human 3D Actions
Action2video: Generating Videos of Human 3D Actions
Chuan Guo
X. Zuo
Sen Wang
Xinshuang Liu
Shihao Zou
Minglun Gong
Li Cheng
3DH
63
22
0
12 Nov 2021
Deep Human-guided Conditional Variational Generative Modeling for
  Automated Urban Planning
Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning
Dongjie Wang
Kunpeng Liu
Pauline Johnson
Leilei Sun
Bowen Du
Yanjie Fu
20
12
0
12 Oct 2021
Context-LGM: Leveraging Object-Context Relation for Context-Aware Object
  Recognition
Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition
Mingzhou Liu
Xinwei Sun
Fandong Zhang
Yizhou Yu
Yizhou Wang
22
0
0
08 Oct 2021
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in
  Image Generation
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation
Yuxiang Wei
Yupeng Shi
Xiao-Chang Liu
Zhilong Ji
Yuan Gao
Zhongqin Wu
W. Zuo
14
55
0
17 Aug 2021
Imperceptible Adversarial Examples for Fake Image Detection
Imperceptible Adversarial Examples for Fake Image Detection
Quanyu Liao
Yuezun Li
Xiaoqiang Guo
Bin Kong
Yingxin Zhu
Jianlei Liu
Zhuqing Jiang
Qi Song
Xi Wu
AAML
87
33
0
03 Jun 2021
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
224
3,190
0
30 Oct 2016
1