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Disentanglement

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전체 기법 전체 데이터셋

하위 태스크: 0
평가표: 3
보존된 평가 기록: 4

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)

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/mapooon/blendface

공식 코드

BlendFace: Re-designing Identity Encoders for Face-Swapping

https://github.com/masilab/lmsignatures

공식 코드

Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification

https://github.com/mateoespinosa/concept-quality

공식 코드

Towards Robust Metrics for Concept Representation Evaluation

https://github.com/matthewvowels1/DisentanglingSequences

공식 코드

VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts

https://github.com/mazrk7/discvae

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Disentangled Sequence Clustering for Human Intention Inference

https://github.com/mchong6/RetrieveInStyle

공식 코드

Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval

https://github.com/mdasifkhan/halo

공식 코드

Hamiltonian latent operators for content and motion disentanglement in image sequences

https://github.com/mengfeid/panoos

공식 코드

Panoramic Out-of-Distribution Segmentation

https://github.com/metavisionlab/pe

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Parameter Exchange for Robust Dynamic Domain Generalization

https://github.com/microsoft/DisentangledFaceGAN

공식 코드

Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning

https://github.com/microsoft/SNR

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Style Normalization and Restitution for Generalizable Person Re-identification

https://github.com/mikecheninoulu/unsupervised_iepgan

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Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer

https://github.com/mingdachen/disentangle-semantics-syntax

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A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations

https://github.com/mingyukim87/synergynerf

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Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs

https://github.com/minha12/styleid

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StyleID: Identity Disentanglement for Anonymizing Faces

https://github.com/ml-research/xiconceptlearning

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Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations

https://github.com/mmakiuchi/multimodal_emotion_recognition

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Multimodal Emotion Recognition with High-level Speech and Text Features

https://github.com/moatifbutt/color-peel

공식 코드

ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement

https://github.com/modelscope/facechain

공식 코드

FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio

https://github.com/mpeychev/disentangled-autoencoders

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Quantifying the Effects of Enforcing Disentanglement on Variational Autoencoders

https://github.com/mseitzer/neurips2019-disentanglement-challenge

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NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Aggregated Convolutional Feature Maps

https://github.com/mshukor/xl-vlms

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A Concept-Based Explainability Framework for Large Multimodal Models

https://github.com/mswellhao/dangle

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Disentangled Sequence to Sequence Learning for Compositional Generalization

https://github.com/murphyka/representation-space-info-comparison

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Comparing the information content of probabilistic representation spaces

https://github.com/musfiqshohan/iddag

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Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand

https://github.com/musfiqshohan/idgen

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Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand

https://github.com/mymakar/causally_motivated_shortcut_removal

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Causally motivated Shortcut Removal Using Auxiliary Labels

https://github.com/naamahadad/A-Two-Step-Disentanglement-Method

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A Two-Step Disentanglement Method

https://github.com/nahyeonkaty/textboost

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TextBoost: Towards One-Shot Personalization of Text-to-Image Models via Fine-tuning Text Encoder

https://github.com/nannanli999/pt_square

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Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures

https://github.com/navi-start/sign-idd

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Sign-IDD: Iconicity Disentangled Diffusion for Sign Language Production

https://github.com/netopedro/orthomad

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OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement

https://github.com/nihaomiao/miccai22_adn

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Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans

https://github.com/nikitabalabin/topdis

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Disentanglement Learning via Topology

https://github.com/nju-rl/meta-dt

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Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement

https://github.com/nju-websoft/magic

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Multi-Aspect Controllable Text Generation with Disentangled Counterfactual Augmentation

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