Image restoration aims to reconstruct a high-quality image from its corrupted version, playing
essential roles in many scenarios. Recent years have witnessed a paradigm shift in image …

Transformer-based approaches have achieved promising performance in image restoration
tasks given their ability to model long-range dependencies which is crucial for recovering …

Despite substantial progress all-in-one image restoration (IR) grapples with persistent
challenges in handling intricate real-world degradations. This paper introduces MPerceiver …

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 …

Learning 3D human-object interaction relation is pivotal to embodied AI and interaction
modeling. Most existing methods approach the goal by learning to predict isolated …

Images captured under adverse weather conditions often suffer from blurred textures and
muted colors, which can impair the extraction of reliable information. Image defogging has …

Image dehazing is an effective means of improving the image quality captured in hazy
weather. Although many dehazing models have produced excellent results, most of them …

Recovering a clear image from a single hazy image is an open inverse problem. Although
significant research progress has been made most existing methods ignore the effect that …

Under hazy weather condition, images captured by electronic imaging devices frequently
encounter a number of issues, such as blurring of image details and the poorly defined …

Recent advancements in adverse weather restoration have shown potential, yet the
unpredictable and varied combinations of weather degradations in the real world pose …