York-SDCNLab / Ghost-DeblurGAN

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.

Date Created 2021-09-11 (2 years ago)

Commits 77 (last one 9 months ago)

Stargazers 37 (0 this week)

Watchers 0 (0 this week)

Forks 9

License mit

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RepositoryStats indexes 535,551 repositories, of these York-SDCNLab/Ghost-DeblurGAN is ranked #489,899 (9th percentile) for total stargazers, and #532,808 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #93,169/103,734.

York-SDCNLab/Ghost-DeblurGAN is also tagged with popular topics, for these it's ranked: deep-learning (#7,379/7833), pytorch (#5,247/5594), robotics (#1,012/1089), benchmark (#617/671), gan (#477/496)

Other Information

York-SDCNLab/Ghost-DeblurGAN has Github issues enabled, there are 2 open issues and 4 closed issues.

All Topics

gan iros pytorch apriltag ghostnet robotics benchmark deblurgan deblurring deblurganv2 motion-blur deep-learning fiducial-markers pytorch-implementation motion-blur-elimination

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15 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-05-29 @ 12:09pm, id: 405245181 / R_kgDOGCeM_Q