UnfoldLDM integrates multi-granularity degradation-aware unfolding with degradation-resistant latent diffusion priors and an over-smoothing correction transformer to achieve leading performance on blind image restoration tasks.
Run: Reversible unfolding network for concealed object segmentation
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Proposes HCL framework with HRR, TAG, and PCC modules for test-time adaptation in camouflaged object detection, claiming consistent outperformance on benchmarks under distribution shifts.
citing papers explorer
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UnfoldLDM: Degradation-Aware Unfolding with Iterative Latent Diffusion Priors for Blind Image Restoration
UnfoldLDM integrates multi-granularity degradation-aware unfolding with degradation-resistant latent diffusion priors and an over-smoothing correction transformer to achieve leading performance on blind image restoration tasks.
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Hierarchical Consistency Learning for Test-time Adaptation in Camouflage Perception
Proposes HCL framework with HRR, TAG, and PCC modules for test-time adaptation in camouflaged object detection, claiming consistent outperformance on benchmarks under distribution shifts.