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 (3 years ago)

Commits 77 (last one about a year ago)

Stargazers 40 (0 this week)

Watchers 0 (0 this week)

Forks 9

License mit

Ranking

RepositoryStats indexes 579,555 repositories, of these York-SDCNLab/Ghost-DeblurGAN is ranked #509,093 (12th percentile) for total stargazers, and #576,138 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #98,540/115,123.

York-SDCNLab/Ghost-DeblurGAN is also tagged with popular topics, for these it's ranked: deep-learning (#7,621/8344), pytorch (#5,362/5914), robotics (#1,101/1235), benchmark (#665/752), gan (#482/519)

Other Information

York-SDCNLab/Ghost-DeblurGAN has Github issues enabled, there are 2 open issues and 5 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: 2024-09-19 @ 09:38pm, id: 405245181 / R_kgDOGCeM_Q