3 accepted papers
Stereo image denoising is crucial to improve perceptual quality and autonomous driving perception. Existing methods often fall short in accurately estimating the uncertainty inherent in noisy data, leading to suboptimal denoising outcomes. To address this, we introduce a novel framework named the Cr…
Stereo image sand removal is crucial to improve the perceptual quality for autonomous driving perception. Existing methods often fall short in accurately estimating the uncertainty inherent in degraded images, leading to suboptimal outcomes. To address this, we introduce a novel framework named Deco…
Although Convolutional Neural Networks (CNN) have made good progress in image restoration, the intrinsic equivalence and locality of convolutions still constrain further improvements in image quality. Recent vision transformer and selfattention have achieved promising results on various computer vis…