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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 26–50 of 1854 papers

TitleStatusHype
DLF: Disentangled-Language-Focused Multimodal Sentiment AnalysisCode2
EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face AnimationCode2
TextBoost: Towards One-Shot Personalization of Text-to-Image Models via Fine-tuning Text EncoderCode2
DiffArtist: Towards Structure and Appearance Controllable Image StylizationCode2
Third Time's the Charm? Image and Video Editing with StyleGAN3Code2
Compositional Transformers for Scene GenerationCode2
Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image SynthesisCode2
Compositional Transformers for Scene GenerationCode2
Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical PerspectivesCode2
A Style-Based Generator Architecture for Generative Adversarial NetworksCode2
Emotion-driven Piano Music Generation via Two-stage Disentanglement and Functional RepresentationCode2
DPE: Disentanglement of Pose and Expression for General Video Portrait EditingCode2
Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty LearningCode2
Adversarial Latent AutoencodersCode2
eVAE: Evolutionary Variational AutoencoderCode2
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized TasksCode2
Fine-Grained Face Swapping via Regional GAN InversionCode2
BlendFace: Re-designing Identity Encoders for Face-SwappingCode2
HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image GenerationCode2
Interpreting the Latent Space of GANs for Semantic Face EditingCode2
A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild ImagesCode2
MotionCLIP: Exposing Human Motion Generation to CLIP SpaceCode2
ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape DisentanglementCode2
CausalVAE: Structured Causal Disentanglement in Variational AutoencoderCode2
When StyleGAN Meets Stable Diffusion: a W+ Adapter for Personalized Image GenerationCode2
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