Traffic accident detection and anticipation is an obstinate road safety problem and
painstaking efforts have been devoted. With the rapid growth of video data, Vision-based …

In real-world scenarios, image impairments often manifest as composite degradations,
presenting a complex interplay of elements such as low light, haze, rain, and snow. Despite …

In this paper, we delve into Blind Image Decomposition (BID) tailored for real-world
scenarios, aiming to uniformly recover images from diverse, unknown weather combinations …

Deep learning-based image restoration methods trained on synthetic datasets have
witnessed notable progress, but suffer from significant performance drops on real-world …

The removal of shadows from images is a classic problem in computer vision, aiming to
restore the lighting in shadowed areas, thereby reducing the information interference and …

In this paper, a novel image enhancement method, called the all-inclusive image
enhancement (AIIE), is proposed that can effectively enhance the degraded images for …

Unmanned Aerial Vehicles (UAVs), also known as drones, have become increasingly
popular in recent years due to their ability to capture high-quality multimedia data from the …

The reconstruction of dynamic head avatars has gained increasing significance, giving rise
to various downstream applications such as visual dubbing and digital human creation …

The extraction of distribution from images with diverse weather conditions is crucial for
enhancing the robustness of visual algorithms. When addressing image degradation caused …

Despite previous works typically targeting isolated degradation types, recent research has
increasingly focused on addressing composite degradations which involve a complex …