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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 431–440 of 1854 papers

TitleStatusHype
Tripod: Three Complementary Inductive Biases for Disentangled Representation LearningCode1
3D Face Tracking from 2D Video through Iterative Dense UV to Image Flow—0
Move Anything with Layered Scene Diffusion—0
Multi-modal Document Presentation Attack Detection With Forensics Trace Disentanglement—0
AUEditNet: Dual-Branch Facial Action Unit Intensity Manipulation with Implicit Disentanglement—0
Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement—0
Reference-Based 3D-Aware Image Editing with Triplanes—0
EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis—0
Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Mesh Variational Autoencoder with Contrastive LearningCode0
Learning to Generate Conditional Tri-plane for 3D-aware Expression Controllable Portrait Animation—0
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