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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 171–180 of 1854 papers

TitleStatusHype
Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis—0
Leveraging Color Channel Independence for Improved Unsupervised Object Detection—0
Sign-IDD: Iconicity Disentangled Diffusion for Sign Language ProductionCode1
MixRec: Heterogeneous Graph Collaborative FilteringCode1
Lifting Scheme-Based Implicit Disentanglement of Emotion-Related Facial Dynamics in the WildCode0
DLF: Disentangled-Language-Focused Multimodal Sentiment AnalysisCode2
OmniPrism: Learning Disentangled Visual Concept for Image Generation—0
VividFace: A Diffusion-Based Hybrid Framework for High-Fidelity Video Face Swapping—0
Unpaired Multi-Domain Histopathology Virtual Staining using Dual Path Prompted InversionCode1
GoHD: Gaze-oriented and Highly Disentangled Portrait Animation with Rhythmic Poses and Realistic ExpressionCode1
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