Toward a Controllable Disentanglement Network
This article addresses two crucial problems of learning disentangled image representations, namely, controlling the degree of disentanglement during image editing, and balancing the disentanglement strength and the reconstruction quality. To encourage disentanglement, we devise distance covariance-b...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
NLM (Medline)
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |