TL;DR
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.
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...
Low-light image enhancement is challenging due to noise and poor visibility. While diffusion models have shown remarkable generative capabilities, applying them directly to this task in the pixel domain remains problematic. They tend to struggle with the trade-off between global illumination correction and local detail...
Image Super-Resolution (SR) aims to recover high-fidelity details from low-resolution inputs. It is a task inherently challenging due to its ill-posed, one-to-many mapping nature. Although deep learning (DL) approaches have achieved state-of-the-art performance, they often incur high computational overhead and lack mat...
GraLoD, a plug-and-play framework that treats restoration scale as a spatially varying and stage-dependent continuous variable, is proposed and minimal-sufficient footprint calibration (MSFC) together with structure-aware regularization (SAR) is introduced to encourage restoration-effective and spatially coherent LOD a...
This work proposes PCFlow (Perceptually Consistent Flow Matching), a unified framework that directly parameterizes a continuous transport from degraded observations to clean targets, jointly optimizing distortion and perceptual quality and integrates a conflict-free gradient projection strategy to stabilize the multi-o...
DARD first extracts image-specific physical priors from the degraded input through a test-time degradation-aware Retinex decomposition, thereby providing reliable structural guidance for zero-shot restoration and injects these priors into reverse diffusion through a timestep-adaptive frequency fusion strategy to balanc...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
