TL;DR
This work proposes Prior-driven Patch-based Bilateral Compensation (P2BiC), a memory-efficient UHD restoration framework that processes UHD images as patches via an in-network feature-space cropping computation path while maintaining global coherence.
Diffusion models have recently achieved encouraging results in real-world image dehazing. However, restoring high-resolution images remains challenging due to spatially non-uniform haze and inconsistent predictions across local patches. To address these issues, we propose Hihaze, a one-step diffusion framework for high...
Low-light image enhancement aims to improve image quality under insufficient illumination while recovering underlying structural and texture information. Existing approaches, ranging from conventional image processing techniques to deep generative models, have shown promising performance in brightness enhancement and d...
Decompositional scene reconstruction aims to reconstruct high-quality objects and background, yet existing methods still struggle with the level of quality under heavy occlusions. While generative priors offer a potential solution, 2D image-based priors often suffer from multi-view inconsistency due to a lack of 3D awa...
Robust demoir\'eing of screen-recaptured images remains challenging: moir\'e varies in frequency, color, and spatial support across display-camera pairs and capture conditions. Dedicated restoration networks trained on finite paired data struggle with this diversity, especially when low-frequency color banding and high...
This paper develops a Retinex-guided state space backbone that integrates illumination–reflectance priors into the network in a structured manner, enabling more reliable restoration of shadow regions, and introduces a Shadow Interaction Module within a multi-scale channel attention framework.
Real images often exhibit unknown and mixed degradations, making restoration substantially more challenging than single-task image restoration because multiple distortion types interact within the same observation. Consequently, existing methods often rely on prior knowledge of the degradation type or separate task-spe...
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