Pytorch implementation of "Image style transfer using convolutional neural networks", Gatys et al. with an interactive app
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Updated
Feb 8, 2022 - Python
Pytorch implementation of "Image style transfer using convolutional neural networks", Gatys et al. with an interactive app
An application that changes the background of a content image.
Peking University 2023 Fall Computer Vision Course Final Assignment Project
A simple and minimalistic PyTorch implementation of "A Neural Algorithm of Artistic Style" by Gatys et. al (2015) 🏞
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.
Neural Style Transfer algorithm implemented in Pytorch
Artistic Image Generation Using Neural Style Transfer
Neural Style transfer based on paper : A Neural Algorithm of Artistic Style
Original Implementation of Neural Style Transfer in pytorch. Inspection has been performed into the working of thereof by changing the hyperparameters.
Adding artistic style to images while preserving the original color
A style-GAN that transfers the style of an image from one image to another image by optimising the generated image.
Neural Style Transfer done from the CLI using a VGG backbone and presented as an MP4.
PyTorch implementation of the Neural Style Transfer paper by Gatys et al.
Implementation of the neural style transfer paper titled "Image Style Transfer Using Convolutional Neural Networks" using PyTorch.
Composable, light-weight style transfer
Implementation of the original paper on neural style transfer from Gatys et al.
Implemented basic deep learning models using PyTorch
A simple and minimalistic implementation of the fast neural style transfer method presented in "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" by Johnson et. al. (2016) 🏞
PyTorch implementation of "A Learned Representation For Artistic Style"
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