… the performance impact of fog on segmentation. Therefore, for … segmentation models to guide
the encoding image dehazing … dehazing network can learn the dehazing ability of the large …

… the performance impact of fog on segmentation. Therefore, for … segmentation models to guide
the encoding image dehazing … dehazing network can learn the dehazing ability of the large …

… Some studies have applied SAM priors to image restoration tasks like dehazing [13] by using
grayscale coding and channel expansion, highlighting their utility in low-level visual tasks. …

… of SAM-based downstream tasks such as single image dehazing and deblurring. … Sam-deblur:
Let segment anything boost image deblurring. arXiv preprint arXiv:2309.02270…

… segmentation to assist in recovering clear images by utilizing the prior information from
superpixel segmentation… Let segment anything help image dehaze. arXiv 2023, arXiv:2306.15870…

… applications including image dehazing [22], image tagging [58], shadow segmentation [49], …
Let Segment Anything Help Image Dehaze. arXiv preprint arXiv:2306.15870, 2023. 2 [23] …

… fIR2 to assist fIR1 in obtaining semantic priors for improved image … Sam-deblur: Let segment
anything boost image deblurring. … Deep video dehazing with semantic segmentation. IEEE …

… We validate the effectiveness of RobustSAM in enhancing downstream tasks (ie, dehazing
[… both the segmentation masks and the reconstructed outcomes for dehazing and deblurring …

… to focus on sky region segmentation, adaptive thresholding, … These links allow the network
to learn better than the original … As seen from the picture, a dark channel prior helps the user …

… encoder to the decoder, allowing quicker convergence. The … ] applied a soft
segmentation-based fusion method to merge … helps the model learn various features of a hazy …