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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 11–20 of 1854 papers

TitleStatusHype
DPE: Disentanglement of Pose and Expression for General Video Portrait EditingCode2
ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape DisentanglementCode2
Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical PerspectivesCode2
Challenging Common Assumptions in the Unsupervised Learning of Disentangled RepresentationsCode2
Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image SynthesisCode2
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized TasksCode2
A Style-Based Generator Architecture for Generative Adversarial NetworksCode2
BlendFace: Re-designing Identity Encoders for Face-SwappingCode2
A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild ImagesCode2
Apply Hierarchical-Chain-of-Generation to Complex Attributes Text-to-3D GenerationCode2
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