Abstract 3D Semantic Scene Completion (SSC) has emerged as a nascent and pivotal
undertaking in autonomous driving aiming to predict the voxel occupancy within volumetric …

Despite the remarkable achievement of recent underwater image restoration techniques, the
lack of labeled data has become a major hurdle for further progress. In this work, we …

Underwater image enhancement (UIE) presents a significant challenge within computer
vision research. Despite the development of numerous UIE algorithms, a thorough and …

Nighttime image dehazing is a challenging task due to the presence of multiple types of
adverse degrading effects including glow, haze, blur, noise, color distortion, and so on …

Despite recent advancements in unified adverse weather removal methods, there remains a
significant challenge of achieving realistic fine-grained texture and reliable background …

Visibility in hazy nighttime scenes is frequently reduced by multiple factors, including low
light, intense glow, light scattering, and the presence of multicolored light sources. Existing …

Snow removal causes challenges due to its characteristic of complex degradations. To this
end, targeted treatment of multi-scale snow degradations is critical for the network to learn …

When applying a pre-trained 2D-to-3D Human Pose lifting model to a target unseen dataset,
a large performance degradation is commonly encountered due to domain shift issues. We …

Due to the wavelength-dependent light attenuation and scattering, the color of the
underwater organism usually appears distorted. The existing underwater image …

Recent text-to-image (T2I) models have benefited from large-scale and high-quality data,
demonstrating impressive performance. However, these T2I models still struggle to produce …