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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 791–800 of 1854 papers

TitleStatusHype
EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face AnimationCode2
NAISR: A 3D Neural Additive Model for Interpretable Shape RepresentationCode1
RICO: Regularizing the Unobservable for Indoor Compositional ReconstructionCode1
Improving Out-of-Distribution Detection with Disentangled Foreground and Background FeaturesCode0
Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video—0
VANI: Very-lightweight Accent-controllable TTS for Native and Non-native speakers with Identity Preservation—0
Semi-supervised Hand Appearance Recovery via Structure Disentanglement and Dual Adversarial Discrimination—0
Distortion-Disentangled Contrastive Learning—0
StyO: Stylize Your Face in Only One-shot—0
Spoof Trace Disentanglement for generic face antispoofing—0
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