Ghost-DeblurGAN
York-SDCNLab
This is a lightweight GAN developed for real-time deblurring. The model has a super tiny size and a rapid inference time. The motivation is to boost marker detection in robotic applications, however, you may use it for other applications definitely.
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4 data points · 2022-06-01 → 2025-06-01How do you feel about this project?
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Question copied to clipboardWhat is the York-SDCNLab/Ghost-DeblurGAN GitHub project? Description: "This is a lightweight GAN developed for real-time deblurring. The model has a super tiny size and a rapid inference time. The motivation is to boost marker detection in robotic applications, however, you may use it for other applications definitely. ". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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