Ultra-high-definition (UHD) technology has attracted widespread attention due to its
exceptional visual quality, but it also poses new challenges for low-light image …

To address the performance degradation of cross-domain object detection under various
illumination conditions and adverse weather scenarios, this paper introduces a novel …

Recent years have witnessed the remarkable performance of diffusion models in various
vision tasks. However, for image restoration that aims to recover clear images with sharper …

Rain in the dark poses significant challenges to deploying real-world applications such as
autonomous driving, surveillance systems, and night photography. Existing low-light …

Existing raindrop removal datasets have two shortcomings. First, they consist of images
captured by cameras with a focus on the background, leading to the presence of blurry …

Banding artifacts, characterized by ring-like bands or color steps in smooth gradients of
images and videos post low-bitrate compression or quantization, degrade viewer …

Image dehazing aims to restore high fidelity clear images from hazy ones. It has wide
applications on many intelligent image analysis systems in computer vision area. Many prior …

To further improve the video compression performance, a neural network based content-
adaptive video compression method is proposed. In current neural video compression …

Banding artifacts substantially impair visual quality in images and videos post low-bitrate
compression. Existing spatial domain approaches often inadequately address severe …

People are nowadays using smartphones to capture photos from multimedia platfroms. The
presence of moir\'e patterns resulting from spectral aliasing can significantly degrade the …