Neural networks do line art stylization
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Updated
Dec 30, 2020 - HTML
Neural networks do line art stylization
Minimal scripts for testing U-2-Net models in Keras
Implementation of the paper "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection" in TensorFlow.
U-2-Net: U Square Net - Modified for paired image training of style transfer
Demonstration using Google Colab to show how U-2-NET can be used for Background Removal, Changing Backgrounds, Bounding Box Creation, Salient Feature Highlighting and Salient Object Cropping.
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
SCSST (Saliency Clothes Segmentation and Style Transfer), Change style of your clothes on the fly!
A framework to quickly generate high-quality stylized clothing from style images. The framework gives users the option to stylize only selected components. It uses Saliency guided style transfer to generate high-quality outputs.
Brain Tumor Segmentation using U2-Net Architecture
This repo contains code and a pre-trained model for clothes segmentation.
This repo generates a synthetic image of a person wearing a target clothing. It requires an image of a person and a target clothing as inputs.
App that uses some of the AWS functionalities. Enables storing images in S3 Bucket and utilizes Lambda to execute operations on an image and save it back to S3.
Huggingface cloth segmentation using U2NET
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