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Found 7 papers, 5 papers with code
A Comprehensive Survey and Taxonomy on Point Cloud Registration Based on Deep Learning
Point cloud registration (PCR) involves determining a rigid transformation that aligns one point cloud to another.
Linearly-evolved Transformer for Pan-sharpening
In this way, our proposed method is capable of benefiting the cascaded modeling rule while achieving favorable performance in the efficient manner.
A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint
There are two distinctions between nighttime and daytime haze.
Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding
On the one hand, the dehazing task is an illposedness problem, which means that no unique solution exists.
Fooling the Image Dehazing Models by First Order Gradient
In this paper, we focus on designing a group of attack methods based on first order gradient to verify the robustness of the existing dehazing algorithms.
A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning
With the development of convolutional neural networks, hundreds of deep learning based dehazing methods have been proposed.
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020.
