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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 1076–1100 of 1854 papers

TitleStatusHype
OPT: One-shot Pose-Controllable Talking Head Generation—0
Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels—0
Multi-Directional Subspace Editing in Style-Space—0
Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic Variational Autoencoder—0
Out of the Box: A combined approach for handling occlusion in Human Pose Estimation—0
Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges—0
PartComposer: Learning and Composing Part-Level Concepts from Single-Image Examples—0
Partial Disentanglement via Mechanism Sparsity—0
PASTA-GAN++: A Versatile Framework for High-Resolution Unpaired Virtual Try-on—0
Personalization Disentanglement for Federated Learning: An explainable perspective—0
Photon-counting CT using a Conditional Diffusion Model for Super-resolution and Texture-preservation—0
PhyS-EdiT: Physics-aware Semantic Image Editing with Text Description—0
Physics-Guided Spoof Trace Disentanglement for Generic Face Anti-Spoofing—0
PICTURE: PhotorealistIC virtual Try-on from UnconstRained dEsigns—0
PIVQGAN: Posture and Identity Disentangled Image-to-Image Translation via Vector Quantization—0
Playmate: Flexible Control of Portrait Animation via 3D-Implicit Space Guided Diffusion—0
PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping—0
PointBA: Towards Backdoor Attacks in 3D Point Cloud—0
Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation—0
Pose-aware Adversarial Domain Adaptation for Personalized Facial Expression Recognition—0
PoseTraj: Pose-Aware Trajectory Control in Video Diffusion—0
Predefined Prototypes for Intra-Class Separation and Disentanglement—0
Predicting Human Mobility via Self-supervised Disentanglement Learning—0
Preference or Intent? Double Disentangled Collaborative Filtering—0
Preliminary theoretical troubleshooting in Variational Autoencoder—0
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