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Found 4 papers, 1 papers with code
DeblurDiNAT: A Lightweight and Effective Transformer for Image Deblurring
To this end, we propose DeblurDiNAT, a compact encoder-decoder Transformer which efficiently restores clean images from real-world blurry ones.
Ranked #3 on
Deblurring
on RealBlur-J (trained on GoPro)
Dilated Fully Convolutional Neural Network for Depth Estimation from a Single Image
It also reduces the amount of parameters significantly by replacing the fully connected layers with the fully convolutional layers.
Advanced Multiple Linear Regression Based Dark Channel Prior Applied on Dehazing Image and Generating Synthetic Haze
To increase object detection accuracy in the hazy environment, the authors further present an algorithm to build a synthetic hazy COCO training dataset by generating the artificial haze to the MS COCO training dataset.
Multiple Linear Regression Haze-removal Model Based on Dark Channel Prior
The RESIDE dataset provides enough synthetic hazy images and their corresponding groundtruth images to train and test.
