DeFMO
[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects (by rozumden)
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. (by York-SDCNLab)
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| DeFMO | Ghost-DeblurGAN | |
|---|---|---|
| 1 | 1 | |
| 164 | 34 | |
| - | - | |
| 1.8 | 3.4 | |
| about 2 years ago | 8 months ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
DeFMO
Posts with mentions or reviews of DeFMO.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Salton Sea UAP - AI deblurring
I wonder if anyone has DeFMO working and can try that AI against the original video.
Ghost-DeblurGAN
Posts with mentions or reviews of Ghost-DeblurGAN.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Apriltag pose detection on curved surface
You could try some sort of Image restoration GAN to produce a modified output of the input image (which lies on the curved surface). I have conducted research on GANs for deblurring Fiducial markers, and simply put, the Network takes a blurred image containing fiducial markers and outputs a ‘deblurred image’ whose fiducial markers can be more easily detected. However, keep in mind that the GANs can perform a wide variety of operations on an input Image (other than just deblurring), hence, they are called Image restoration networks in general. What you could give a shot is, create a pipeline where the captured image goes into the GAN, then the output is fed to the Apriltag detector. Here is the link to our GitHub if you need a starter: https://github.com/York-SDCNLab/Ghost-DeblurGAN, and some of my other suggestions are NAFNet and HINet.
What are some alternatives?
When comparing DeFMO and Ghost-DeblurGAN you can also consider the following projects:
PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)
DeblurGANv2 - [ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
MonoRec - Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (CVPR 2021)
StyleGAN.pytorch - A PyTorch implementation for StyleGAN with full features.
Awesome-Deblurring - A curated list of resources for Image and Video Deblurring
DE-GAN - Document Image Enhancement with GANs - TPAMI journal
ALAE - [CVPR2020] Adversarial Latent Autoencoders
tapnet - Tracking Any Point (TAP)