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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 1351–1400 of 1854 papers

TitleStatusHype
Neural Video Portrait Relighting in Real-time via Consistency ModelingCode1
Unsupervised Disentanglement of Linear-Encoded Facial Semantics—0
PointBA: Towards Backdoor Attacks in 3D Point Cloud—0
Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and TranslationCode1
StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval—0
Disentanglement-based Cross-Domain Feature Augmentation for Effective Unsupervised Domain Adaptive Person Re-identification—0
Scaling-up Disentanglement for Image TranslationCode1
Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation—0
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges—0
GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images—0
Adversarial Graph DisentanglementCode1
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of ExpertsCode1
Density-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement—0
Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images—0
Unsupervised Geometric Disentanglement via CFAN-VAE—0
Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data—0
U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction—0
FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation—0
CoDeGAN: Contrastive Disentanglement for Generative Adversarial NetworkCode0
ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual ScansCode1
Learning disentangled representations via product manifold projection—0
Image-to-image Translation via Hierarchical Style DisentanglementCode1
IdentityDP: Differential Private Identification Protection for Face Images—0
Generative Adversarial TransformersCode2
Disentangling Geometric Deformation Spaces in Generative Latent Shape Models—0
FaceController: Controllable Attribute Editing for Face in the Wild—0
Representation Disentanglement for Multi-modal brain MR AnalysisCode1
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning ViewCode1
Rethinking Content and Style: Exploring Bias for Unsupervised DisentanglementCode1
Towards Building A Group-based Unsupervised Representation Disentanglement FrameworkCode1
Contrastive Learning Inverts the Data Generating ProcessCode1
ShaRF: Shape-conditioned Radiance Fields from a Single View—0
Demystifying Inductive Biases for β-VAE Based Architectures—0
Disentangled Representations from Non-Disentangled Models—0
Addressing the Topological Defects of Disentanglement via Distributed OperatorsCode1
On Disentanglement in Gaussian Process Variational Autoencoders—0
Benchmarks, Algorithms, and Metrics for Hierarchical DisentanglementCode0
DEFT: Distilling Entangled Factors by Preventing Information Diffusion—0
Evaluating the Interpretability of Generative Models by Interactive ReconstructionCode0
Tooth Instance Segmentation from Cone-Beam CT Images through Point-based Detection and Gaussian Disentanglement—0
Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes—0
Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAECode0
Video Reenactment as Inductive Bias for Content-Motion DisentanglementCode0
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel PairsCode1
Disentangled Sequence Clustering for Human Intention InferenceCode0
Blocked and Hierarchical Disentangled Representation From Information Theory Perspective—0
Disentangled Recurrent Wasserstein Autoencoder—0
A Unified Conditional Disentanglement Framework for Multimodal Brain MR Image Translation—0
Evaluating Disentanglement of Structured Representations—0
GAN-Control: Explicitly Controllable GANsCode1
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