Ghost-DeblurGAN VS tapnet

Compare Ghost-DeblurGAN vs tapnet and see what are their differences.

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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Ghost-DeblurGAN tapnet
1 3
35 1,056
- 3.5%
3.4 8.2
8 months ago 8 days ago
Python Python
MIT License Apache License 2.0
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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
    1 project | /r/robotics | 3 Aug 2022
    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.

tapnet

Posts with mentions or reviews of tapnet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-29.

What are some alternatives?

When comparing Ghost-DeblurGAN and tapnet you can also consider the following projects:

DeblurGANv2 - [ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

co-tracker - CoTracker is a model for tracking any point (pixel) on a video.

StyleGAN.pytorch - A PyTorch implementation for StyleGAN with full features.

omnimotion

DE-GAN - Document Image Enhancement with GANs - TPAMI journal

ModelNet40-C - Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296

ALAE - [CVPR2020] Adversarial Latent Autoencoders

LFattNet - Attention-based View Selection Networks for Light-field Disparity Estimation

opendr - A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:

DPL - [NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.