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Found 4 papers, 1 papers with code
Cross-Consistent Deep Unfolding Network for Adaptive All-In-One Video Restoration
To empower the framework for eliminating diverse degradations, we devise a Sequence-wise Adaptive Degradation Estimator (SADE) to estimate degradation features for the input corrupted video.
Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks
Specifically, we augment the latent codes of the inferred member data with LCA and use them as guidance for SD.
DRM-IR: Task-Adaptive Deep Unfolding Network for All-In-One Image Restoration
With the two cascaded subtasks, DRM-IR first dynamically models the task-specific degradation based on a reference image pair and further restores the image with the collected degradation statistics.
Rain Removal and Illumination Enhancement Done in One Go
First, we proposed a novel entangled network, namely EMNet, which can remove the rain and enhance illumination in one go.
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