Popular GitHub Repositories for U Net

《深度学习与计算机视觉》配套代码

Real-Time Semantic Segmentation in Mobile device

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Python library for designing and training your own Diffusion Models with PyTorch.

Implementation of a U-net complete with efficient attention as well as the latest research findings

A Pytorch implementation of Stylegan2 with UNet Discriminator

Autonomous navigation for blind people

基于pix2pix模型的动漫图片自动上色(keras实现) 2019-2-25

Retinal Vessel Segmentation using U-Net architecture. DRIVE and STARE datasets are used.

A U-net GAN for jpeg artifact removal

Bayesian Deep Learning and Deep Reinforcement Learning for Object Shape Error Response and Correction of Manufacturing Systems

AUTOMATED TYPE CLASSIFICATION OF GLAUCOMA DETECTION USING DEEP LEARNING

最近的研究表明，在图像修复问题中建立远程相互作用模型具有很高的重要性。为了实现这一目标，现有的方法要么利用古老的数字图像处理技术，要么利用单一且简单的CNN结构。但是，这些技术对于低分辨率下的复杂图像显然力不从心。本课题提出了一种新的基于对抗生成网络GAN与Transformer相融合的图像修复模型，该模型能够有效修复各个分辨率下的复杂图像。图像修复论文可用开题报告&&任务书下载链接: https://pan.baidu.com/s/1k7P5HQtDLqw1plzNBCQ3WQ?pwd=jkbb

EDN-GTM for Single Image Dehazing

[Pytorch] U-Net and R2U-Net models for Image Segmentation. Results are shown for STARE/DRIVE datasets.

White Blood Cell Image Segmentation Using Deep Convolution Neural Networks

Official PyTorch implementation of "A Unified Framework for U-Net Design and Analysis" (NeurIPS 2023).

Deep Reinforcement Learning for Robotic Pushing and Picking in Cluttered Environment