Hbenbenyu
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Lists (20)
face changes
1 repository
generative model
1 repository
GUI for Detection
use PYQT5 to build GUI to display the detection result15 repositories
huitu
4 repositories
image enhance
3 repositories
neural style transfer
43 repositories
rotate detection
use rotate box to detect crack3 repositories
segmentation
4 repositories
shexiangtou_detect
1 repository
swarm algorithms
12 repositories
text-to-image
3 repositories
transformer time series predicti
6 repositories
underwater image enhancement
4 repositories
uwimg_aug
45 repositories
VOCaugmentation
3 repositories
yolo
1 repository
yolov10
1 repository
YOLOv8
10 repositories
YOLOv9
1 repository
YOLOX
codes for YOLOX series14 repositories
Starred repositories
Provide pre-trained MobileNetv123 and MobileNet-DSC FPN models for DeblurGANv2
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
This is an almost exact replica in PyTorch of the Tensorflow version of Self-Attention GAN released by Google Brain in August 2018.
The source code for paper"Multi-Head Mutual-attention CycleGAN for Unpaired Image-to-Image Translation"
Attention based Single Image Dehazing Using Improved CycleGAN
💻 🐈 Added a self-attention layer to the CycleGAN implementation (PyTorch).
Use CycleGAN with Attention inference crack segmentation
Unsupervised Attention-Guided Image to Image Translation
A Deep Learning based project for colorizing and restoring old images (and video!)
This code is based on official code,but I add some different loss,like ssim loss ,to realize image enhancement based on some IEEE papers:Chongyi Li, Guo Jichang, Guo Chunle. Emerging From Water: Un…
Comparing different similarity functions for reconstruction of image on CycleGAN. (https://tandon-a.github.io/CycleGAN_ssim/) Training cycleGAN with different loss functions to improve visual quali…
In this repository, I have developed a CycleGAN architecture with embedded Self-Attention Layers, that could solve three different complex tasks. Here the same principle Neural Network architecture…
Pytorch implementation of our paper: Revisting Cycle-GAN for semi-supervised segmentation
Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.
A clean and readable Pytorch implementation of CycleGAN
Python implementation of multi scale retinex with color restoration
Some histogram equalization methods to enhance image contrast, including AHE and CLAHE.
Source code for "WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images"
Source code for UWGAN: Underwater GAN for Real-world Underwater Color Restoration and Dehazing
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!
Labeling tool with SAM(segment anything model),supports SAM, SAM2, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具
