Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1906.11796
Cited By
Demystifying Inter-Class Disentanglement
27 June 2019
Aviv Gabbay
Yedid Hoshen
DRL
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Demystifying Inter-Class Disentanglement"
40 / 40 papers shown
Title
Generative Fields: Uncovering Hierarchical Feature Control for StyleGAN via Inverted Receptive Fields
Zhuo He
Paul Henderson
Nicolas Pugeault
GAN
46
0
0
24 Apr 2025
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement
Mathieu Cyrille Simon
Pascal Frossard
Christophe De Vleeschouwer
CoGe
CML
31
1
0
10 Aug 2024
Label Augmentation for Neural Networks Robustness
Fatemeh Amerehi
Patrick Healy
AAML
39
1
0
04 Aug 2024
Disentangled Neural Relational Inference for Interpretable Motion Prediction
Victoria M. Dax
Jiachen Li
Enna Sachdeva
Nakul Agarwal
Mykel J. Kochenderfer
34
4
0
07 Jan 2024
SAIC: Integration of Speech Anonymization and Identity Classification
Ming Cheng
Xingjian Diao
Shitong Cheng
Wenjun Liu
53
6
0
23 Dec 2023
A Novel Information-Theoretic Objective to Disentangle Representations for Fair Classification
Pierre Colombo
Nathan Noiry
Guillaume Staerman
Pablo Piantanida
FaML
DRL
38
1
0
21 Oct 2023
Text2Performer: Text-Driven Human Video Generation
Yuming Jiang
Shuai Yang
Tong Liang Koh
Wayne Wu
Chen Change Loy
Ziwei Liu
DiffM
VGen
45
48
0
17 Apr 2023
GAN-based Facial Attribute Manipulation
Yunfan Liu
Qi Li
Qiyao Deng
Zhen Sun
Mingcong Yang
CVBM
54
29
0
23 Oct 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
45
113
0
24 Aug 2022
Interpretable Disentangled Parametrization of Measured BRDF with
β
β
β
-VAE
A. Benamira
Sachin Shah
S. Pattanaik
16
3
0
08 Aug 2022
Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors
Niv Cohen
Jonathan Kahana
Yedid Hoshen
19
3
0
07 Jul 2022
Generative Modeling Helps Weak Supervision (and Vice Versa)
Benedikt Boecking
Nicholas Roberts
W. Neiswanger
Stefano Ermon
Frederic Sala
Artur Dubrawski
23
1
0
22 Mar 2022
A Contrastive Objective for Learning Disentangled Representations
Jonathan Kahana
Yedid Hoshen
SSL
22
13
0
21 Mar 2022
Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph
Dacheng Yin
Xuanchi Ren
Chong Luo
Yuwang Wang
Zhiwei Xiong
Wenjun Zeng
52
13
0
24 Feb 2022
Towards Disentangling Information Paths with Coded ResNeXt
Apostolos Avranas
Marios Kountouris
FAtt
17
1
0
10 Feb 2022
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model
Zipeng Xu
Tianwei Lin
Hao Tang
Fu Li
Dongliang He
N. Sebe
Radu Timofte
Luc Van Gool
Errui Ding
EGVM
38
41
0
26 Nov 2021
DisUnknown: Distilling Unknown Factors for Disentanglement Learning
Sitao Xiang
Yuming Gu
Pengda Xiang
Menglei Chai
Hao Li
Yajie Zhao
Mingming He
CoGe
35
4
0
16 Sep 2021
Learning Disentangled Representations in the Imaging Domain
Xiao Liu
Pedro Sanchez
Spyridon Thermos
Alison Q. OÑeil
Sotirios A. Tsaftaris
OOD
DRL
32
71
0
26 Aug 2021
Controllable cardiac synthesis via disentangled anatomy arithmetic
Spyridon Thermos
Xiao Liu
Alison Q. OÑeil
Sotirios A. Tsaftaris
MedIm
27
14
0
04 Jul 2021
An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild
Aviv Gabbay
Niv Cohen
Yedid Hoshen
CoGe
DRL
23
33
0
29 Jun 2021
Scaling-up Disentanglement for Image Translation
Aviv Gabbay
Yedid Hoshen
CoGe
26
20
0
25 Mar 2021
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CoGe
30
8
0
12 Mar 2021
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
Lili Pan
Peijun Tang
Zhiyong Chen
Zenglin Xu
GAN
DRL
18
6
0
05 Mar 2021
Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision
Kieran A. Murphy
Varun Jampani
Srikumar Ramalingam
A. Makadia
15
2
0
04 Mar 2021
Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement
Xuanchi Ren
Tao Yang
Yuwang Wang
Wenjun Zeng
CoGe
DRL
30
7
0
21 Feb 2021
Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder
Tal Daniel
Aviv Tamar
DRL
24
42
0
24 Dec 2020
Disentangled Information Bottleneck
Ziqi Pan
Li Niu
Jianfu Zhang
Liqing Zhang
30
36
0
14 Dec 2020
Targeted VAE: Variational and Targeted Learning for Causal Inference
M. Vowels
Necati Cihan Camgöz
Richard Bowden
BDL
OOD
CML
13
8
0
28 Sep 2020
Measuring the Biases and Effectiveness of Content-Style Disentanglement
Xiao Liu
Spyridon Thermos
Gabriele Valvano
A. Chartsias
Alison Q. OÑeil
Sotirios A. Tsaftaris
CoGe
DRL
29
18
0
27 Aug 2020
iCaps: An Interpretable Classifier via Disentangled Capsule Networks
Dahuin Jung
Jonghyun Lee
Jihun Yi
Sungroh Yoon
28
12
0
20 Aug 2020
Improving Style-Content Disentanglement in Image-to-Image Translation
Aviv Gabbay
Yedid Hoshen
16
6
0
09 Jul 2020
Robust Face Verification via Disentangled Representations
Marius Arvinte
Ahmed H. Tewfik
S. Vishwanath
CVBM
22
1
0
05 Jun 2020
Face Identity Disentanglement via Latent Space Mapping
Yotam Nitzan
Amit H. Bermano
Yangyan Li
Daniel Cohen-Or
CVBM
CoGe
DRL
30
16
0
15 May 2020
Training End-to-end Single Image Generators without GANs
Yael Vinker
Nir Zabari
Yedid Hoshen
13
1
0
07 Apr 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior
Lisa Lee
Benjamin Eysenbach
Ruslan Salakhutdinov
S. Gu
Chelsea Finn
SSL
17
26
0
06 Apr 2020
Structural-analogy from a Single Image Pair
Sagie Benaim
Ron Mokady
Amit H. Bermano
Daniel Cohen-Or
Lior Wolf
16
19
0
05 Apr 2020
NestedVAE: Isolating Common Factors via Weak Supervision
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
DRL
26
21
0
26 Feb 2020
Weakly Supervised Disentanglement with Guarantees
Rui Shu
Yining Chen
Abhishek Kumar
Stefano Ermon
Ben Poole
CoGe
DRL
31
136
0
22 Oct 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
300
10,368
0
12 Dec 2018
A Learned Representation For Artistic Style
Vincent Dumoulin
Jonathon Shlens
M. Kudlur
GAN
214
1,156
0
24 Oct 2016
1