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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 976–1000 of 1854 papers

TitleStatusHype
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual InformationCode1
Disentangling 3D Attributes from a Single 2D Image: Human Pose, Shape and Garment—0
Latent Multi-Relation Reasoning for GAN-Prior based Image Super-Resolution—0
Zero-Shot Style Transfer for Gesture Animation driven by Text and Speech using Adversarial Disentanglement of Multimodal Style Encoding—0
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift—0
Design What You Desire: Icon Generation from Orthogonal Application and Theme LabelsCode0
Neural Radiance Transfer Fields for Relightable Novel-view Synthesis with Global Illumination—0
PASTA-GAN++: A Versatile Framework for High-Resolution Unpaired Virtual Try-on—0
Advanced Conditional Variational Autoencoders (A-CVAE): Towards interpreting open-domain conversation generation via disentangling latent feature representation—0
V-Coder: Adaptive AutoEncoder for Semantic Disclosure in Knowledge Graphs—0
Neural Groundplans: Persistent Neural Scene Representations from a Single Image—0
Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers—0
Structural Causal 3D Reconstruction—0
Exploring Disentangled Content Information for Face Forgery Detection—0
DID-M3D: Decoupling Instance Depth for Monocular 3D Object DetectionCode1
Partial Disentanglement via Mechanism Sparsity—0
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement LearningCode1
Discovering Domain Disentanglement for Generalized Multi-source Domain AdaptationCode0
Geometry-aware Single-image Full-body Human Relighting—0
Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement—0
Harnessing Out-Of-Distribution Examples via Augmenting Content and StyleCode0
GLANCE: Global to Local Architecture-Neutral Concept-based ExplanationsCode0
Latents2Segments: Disentangling the Latent Space of Generative Models for Semantic Segmentation of Face Images—0
Factorizing Knowledge in Neural NetworksCode1
De-Biasing Generative Models using Counterfactual Methods—0
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