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Disentanglement

This is an approach to solve a diverse set of tasks in a data efficient manner by disentangling (or isolating ) the underlying structure of the main problem into disjoint parts of its representations. This disentanglement can be done by focussing on the "transformation" properties of the world(main problem)

Papers

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Showing 901–910 of 1854 papers

TitleStatusHype
IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction—0
iEmoTTS: Toward Robust Cross-Speaker Emotion Transfer and Control for Speech Synthesis based on Disentanglement between Prosody and Timbre—0
Controllable Face Aging—0
IF-MDM: Implicit Face Motion Diffusion Model for High-Fidelity Realtime Talking Head Generation—0
DreamLight: Towards Harmonious and Consistent Image Relighting—0
Image Denoising via Style Disentanglement—0
Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation—0
Controllable Data Generation Via Iterative Data-Property Mutual Mappings—0
DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition—0
ContriMix: Scalable stain color augmentation for domain generalization without domain labels in digital pathology—0
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