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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 1111–1120 of 1854 papers

TitleStatusHype
Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation—0
The Layout Generation Algorithm of Graphic Design Based on Transformer-CVAE—0
Combining audio control and style transfer using latent diffusion—0
SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement—0
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning—0
3D-aware Image Generation and Editing with Multi-modal Conditions—0
3D Face Tracking from 2D Video through Iterative Dense UV to Image Flow—0
3DitScene: Editing Any Scene via Language-guided Disentangled Gaussian Splatting—0
3D-Speaker: A Large-Scale Multi-Device, Multi-Distance, and Multi-Dialect Corpus for Speech Representation Disentanglement—0
3D-SSGAN: Lifting 2D Semantics for 3D-Aware Compositional Portrait Synthesis—0
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