Image Style Transfer Using Convolutional Neural Networks
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Updated
Jun 16, 2018 - Python
Image Style Transfer Using Convolutional Neural Networks
Application for performing image style transfer from a style transfer onto a content image through a generated image medium. Functions and notes taken from Coursera's Deeplearning.ai Convolutional Neural Networks course.
A macOS Swift Playground for testing your image stylizing CoreML model
A clear and lucid implementation of Instance Aware Tanslation in Image Style Transfer using GANs
Dissertation Project based on Image Style Transfer. Created a user interactive graphics editor that allows users to create masks to control the region where the algorithm will effect.
Convert an image into a nice-looking Voronoi diagram using one of many available techniques with options for customization.
Web app for investigating image style transfer with VGG19 built as a BSc final year project 2020/2021
Easy machine learning in PHP by leveraging the power of TensorFlow
To realize image style transfer using basic components of neural network
Season Style Transfer: Creating season changing video using Style Transfer
[CVIU2023] Codes for my paper "SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection"
Unofficial Pytorch Implementation of 'Uncorrelated feature encoding for faster style transfer'
Unofficial Pytorch Implementation of 'Image Style Transfer Using Convolutional Neural Networks'
PyTorch implementation of "A Learned Representation For Artistic Style"
Compact image style transfer with channel and xor losses
Combine two images and produce new image with style of first image and content of second image
Pablo is a webtool to transfer image styles onto an uploaded image using Tensorflow Hub and Google's Magenta library
PyTorch implementation of "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization"
Implementation from scratch of [Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization [Huang+, ICCV2017]]
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