Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders

27 April 2018

Papers citing "Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders"

25 / 25 papers shown

Title
PointExplainer: Towards Transparent Parkinson's Disease Diagnosis Xuechao Wang S. Nõmm Junqing Huang Kadri Medijainen A. Toomela Michael Ruzhansky AAML FAtt 26 0 0 04 May 2025
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization M. R. Uddin Min Xu 51 0 0 27 May 2024
A robust estimator of mutual information for deep learning interpretability Davide Piras H. Peiris A. Pontzen Luisa Lucie-Smith Ningyuan Guo Brian D. Nord SSL DRL 32 15 0 31 Oct 2022
Multi-objective Deep Data Generation with Correlated Property Control Shiyu Wang Xiaojie Guo Xuanyang Lin Bo Pan Yuanqi Du ... S. Alkhalifa K. Minbiole Bill Wuest Amarda Shehu Liang Zhao AI4CE 54 14 0 01 Oct 2022
Gacs-Korner Common Information Variational Autoencoder Michael Kleinman Alessandro Achille Stefano Soatto J. Kao CML DRL 32 12 0 24 May 2022
Disentangling A Single MR Modality Lianrui Zuo Yihao Liu Yuan Xue Shuo Han M. Bilgel Susan M. Resnick Jerry L. Prince A. Carass 26 14 0 10 May 2022
Oracle Guided Image Synthesis with Relative Queries Alec Helbling Christopher Rozell Matthew R. O’Shaughnessy Kion Fallah 23 0 0 28 Apr 2022
Learning Conditional Invariance through Cycle Consistency M. Samarin V. Nesterov Mario Wieser Aleksander Wieczorek S. Parbhoo Volker Roth 41 3 0 25 Nov 2021
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion Zihang Lai Sifei Liu Alexei A. Efros Xiaolong Wang VGen 41 31 0 06 Oct 2021
Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints Zichao Wang Andrew S. Lan Richard G. Baraniuk 64 45 0 09 Sep 2021
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis Patrick Esser Robin Rombach A. Blattmann Bjorn Ommer DiffM 38 157 0 19 Aug 2021
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation Yuxiang Wei Yupeng Shi Xiao-Chang Liu Zhilong Ji Yuan Gao Zhongqin Wu W. Zuo 28 55 0 17 Aug 2021
StyleFusion: A Generative Model for Disentangling Spatial Segments Omer Kafri Or Patashnik Yuval Alaluf Daniel Cohen-Or 26 37 0 15 Jul 2021
Disentangled Representation Learning for Astronomical Chemical Tagging Damien de Mijolla M. Ness S. Viti A. Wheeler 9 7 0 10 Mar 2021
iCaps: An Interpretable Classifier via Disentangled Capsule Networks Dahuin Jung Jonghyun Lee Jihun Yi Sungroh Yoon 33 12 0 20 Aug 2020
Swapping Autoencoder for Deep Image Manipulation Taesung Park Jun-Yan Zhu Oliver Wang Jingwan Lu Eli Shechtman Alexei A. Efros Richard Y. Zhang 48 333 0 01 Jul 2020
Disentanglement for Discriminative Visual Recognition Xiaofeng Liu DRL 27 6 0 14 Jun 2020
Guided Variational Autoencoder for Disentanglement Learning Zheng Ding Yifan Xu Weijian Xu Gaurav Parmar Yang Yang Max Welling Zhuowen Tu DRL CoGe 34 106 0 02 Apr 2020
NestedVAE: Isolating Common Factors via Weak Supervision M. Vowels Necati Cihan Camgöz Richard Bowden CML DRL 26 21 0 26 Feb 2020
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation Xinlei Pan Tingnan Zhang Brian Ichter Aleksandra Faust Jie Tan Sehoon Ha 57 25 0 27 Sep 2019
Theory and Evaluation Metrics for Learning Disentangled Representations Kien Do T. Tran CoGe DRL 18 93 0 26 Aug 2019
Y-Autoencoders: disentangling latent representations via sequential-encoding Massimiliano Patacchiola P. Fox-Roberts E. Rosten OOD DRL 21 13 0 25 Jul 2019
Demystifying Inter-Class Disentanglement Aviv Gabbay Yedid Hoshen DRL 22 56 0 27 Jun 2019
Disentangling Latent Hands for Image Synthesis and Pose Estimation Linlin Yang Angela Yao CoGe DRL 28 116 0 03 Dec 2018
Adversarial Uncertainty Quantification in Physics-Informed Neural Networks Yibo Yang P. Perdikaris AI4CE PINN 23 355 0 09 Nov 2018