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DisUnknown: Distilling Unknown Factors for Disentanglement Learning

DisUnknown: Distilling Unknown Factors for Disentanglement Learning

16 September 2021
Sitao Xiang
Yuming Gu
Pengda Xiang
Menglei Chai
Hao Li
Yajie Zhao
Mingming He
    CoGe
ArXiv (abs)PDFHTML

Papers citing "DisUnknown: Distilling Unknown Factors for Disentanglement Learning"

4 / 4 papers shown
Transferring disentangled representations: bridging the gap between synthetic and real images
Transferring disentangled representations: bridging the gap between synthetic and real imagesNeural Information Processing Systems (NeurIPS), 2024
Jacopo Dapueto
Nicoletta Noceti
Francesca Odone
OOD
557
2
0
26 Sep 2024
Multifactor Sequential Disentanglement via Structured Koopman
  Autoencoders
Multifactor Sequential Disentanglement via Structured Koopman AutoencodersInternational Conference on Learning Representations (ICLR), 2023
Nimrod Berman
Ilana D Naiman
Omri Azencot
CoGe
259
28
0
30 Mar 2023
Disentangled Representation Learning
Disentangled Representation LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Xin Eric Wang
Hong Chen
Siao Tang
Zihao Wu
Wenwu Zhu
DRL
627
187
0
21 Nov 2022
Interpretable Disentangled Parametrization of Measured BRDF with
  $β$-VAE
Interpretable Disentangled Parametrization of Measured BRDF with βββ-VAE
A. Benamira
Sachin Shah
S. Pattanaik
242
4
0
08 Aug 2022
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