Implementing neural style transfer on images and videos using TensorFlow 🎨
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Updated
Mar 22, 2022 - Python
Implementing neural style transfer on images and videos using TensorFlow 🎨
Art Generation using Neural Style Transfer Algorithm
Tensorflow implementation of neural artistic style transfer
Study and Implementation of a Real-time Artistic Style Transfer System for an Immersive Art Experience
A toolkit for interpreting and analyzing neural networks (vision)
Utilises deep learning to compose one image in the style of another image (ie., neural style transfer)
This example projects demonstrate the use of Style Transfer in python, Android and etc.
A simple and minimalistic PyTorch implementation of "A Neural Algorithm of Artistic Style" by Gatys et. al (2015) 🏞
Artistic style transfer with the help pretrained CNNs
A PyTorch project implementing neural style transfer using the VGG19 model, combining the content of one image with the style of another for artistic transformations.
portre çizeridir
This repository provides an easy-to-use implementation of neural style transfer, allowing you to apply the artistic style of one image to the content of another. Choose between the functional approach and the object-oriented programming (OOP) approach based on your preference and project requirements.
Implement Artist Style Transfer using CycleGAN
Course/Homework materials for the "Creative Applications of Deep Learning with Tensorflow" MOOC
PyTorch implementation of Artistic Style Transfer.
Tensor Flow implementation of Artistic Style Transfer
Compact image style transfer with channel and xor losses
MFC Windows application that implement the impressionist non photorealistic rendering
Arbitrary Style Transfer for Videos with Adaptive Instance Normalization https://arxiv.org/abs/1703.06868
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