CDPR integrates polarization priors into a diffusion-based monocular depth estimator via shared latent space and adaptive gating, outperforming RGB-only methods in challenging scenes.
Laion- 5b: An open large-scale dataset for training next generation image-text models
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
HAA framework applies hierarchical anti-aesthetic rewards to degrade generation quality and disrupt facial identity in customized diffusion models for privacy protection.
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CDPR: Cross-modal Diffusion with Polarization for Reliable Monocular Depth Estimation
CDPR integrates polarization priors into a diffusion-based monocular depth estimator via shared latent space and adaptive gating, outperforming RGB-only methods in challenging scenes.
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Hierarchical Anti-Aesthetics: Protecting Facial Privacy against Customized Diffusion Models
HAA framework applies hierarchical anti-aesthetic rewards to degrade generation quality and disrupt facial identity in customized diffusion models for privacy protection.