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Apr 27, 2022 · To solve the practical rain removal problem arisen from MOR, we formulate a new rain imaging model and propose a multi-branch attention ...
May 21, 2020 · We propose a multi-branch attention generative adversarial network (termed an MBA-RainGAN) to fully remove the MOR.
For the first time, the overall visibility of objects is determined by the mixture of rain (MOR), and a multi-branch attention generative adversarial ...
mba-raingan: a multi-branch attention generative adversarial - IEEE Xplore
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To solve the practi- cal rain removal problem arisen from MOR, we formulate a new rain imaging model and propose a multi-branch attention generative adversarial ...
This is the PyTorch implementation for our paper: MBA-RainGAN: A Multi-Branch Attention Generative Adversarial Network for Mixture of Rain Removal.
Later, MBA-RainGAN [37] , a multibranch attention generative adversarial network, was proposed to remove entangled rain streaks, rainy haze, and raindrops.
May 23, 2020 · In this work, we first formulate a new rain imaging model; by then, we enrich the popular RainCityscapes by considering raindrops, named ...
Dive into the research topics of 'MBA-RAINGAN: A MULTI-BRANCH ATTENTION GENERATIVE ADVERSARIAL NETWORK FOR MIXTURE OF RAIN REMOVAL'. Together they form a unique ...
May 21, 2020 · Rain severely hampers the visibility of scene objects when images are captured through glass in heavily rainy days.
Dive into the research topics of 'MBA-RainGAN: A Multi-Branch Attention Generative Adversarial Network for Mixture of Rain Removal'. Together they form a unique ...