Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation-Reference-Cited by-同舟云学术

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Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Wei Yuxiang¹,Shi Yupeng¹,Liu Xiao²,Ji Zhilong²,Gao Yuan²,Wu Zhongqin²,Zuo Wangmeng¹

Affiliation:

1. Harbin Institute of Technology

2. Tomorrow Advancing Life

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710918.pdf?arnumber=9710918

Reference48 articles.

1. Product of orthogonal spheres parameterization for disentangled representation learning;shukla,2019

2. Closed-Form Factorization of Latent Semantics in GANs

3. Domain agnostic learning with disentangled representations;peng;International Conference on Machine Learning,2019

4. The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement

5. Is generator conditioning causally related to gan performance?;odena;International Conference on Machine Learning,2018

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