Proposes a sequential causal discovery framework integrating noisy LM priors with batch data via PAG representation and adaptive edge querying for improved structural accuracy.
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UNVERDICTED 4representative citing papers
Factored Classifier-Free Guidance enables per-attribute control in classifier-free guidance for diffusion models to produce more sound counterfactuals.
Causal-Adapter adapts frozen diffusion backbones via structural causal modeling, prompt-aligned injection, and conditioned token contrastive loss to achieve faithful counterfactual generation with strong attribute control and identity preservation.
A causality-aware self-supervised pipeline reconstructs 3D non-rigid clothing from single images by embedding a structural causal map and two EM loops to disentangle camera, shape, texture, and illumination variables.
citing papers explorer
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Sequential Causal Discovery with Noisy Language Model Priors
Proposes a sequential causal discovery framework integrating noisy LM priors with batch data via PAG representation and adaptive edge querying for improved structural accuracy.
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Factored Classifier-Free Guidance
Factored Classifier-Free Guidance enables per-attribute control in classifier-free guidance for diffusion models to produce more sound counterfactuals.
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Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation
Causal-Adapter adapts frozen diffusion backbones via structural causal modeling, prompt-aligned injection, and conditioned token contrastive loss to achieve faithful counterfactual generation with strong attribute control and identity preservation.
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3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective
A causality-aware self-supervised pipeline reconstructs 3D non-rigid clothing from single images by embedding a structural causal map and two EM loops to disentangle camera, shape, texture, and illumination variables.