Disentangled Contrastive Learning From Synthetic Matching Pairs for Targeted Chest X-Ray Generation
Disentangled generation enables the synthesis of images with explicit control over disentangled attributes. However, traditional generative models often struggle to independently disentangle these attributes while maintaining the ability to generate entirely new, fully randomized, and diverse synthe...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10844299/ |
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