Arbitrary Style Transfer with Style-Attentional Networks

Fast Neural Style for Image Style Transform by Pytorch

Infinite Zoom For Style Transfer

C++ implementation of neural networks library with Keras-like API. Contains majority of commonly used layers, losses and optimizers. Supports sequential and multi-input-output (flow) models. Supports single CPU, Multi-CPU and GPU tensor operations (using cuDNN and cuBLAS).

🤖 | Learning PyTorch through official examples

A Keras Implementation of Fast-Neural-Style

Fast neural style with MobileNetV2 bottleneck blocks

TensorFlow implementation of CNN fast neural style transfer ⚡️ 🎨 🌌

Fast Neural Style Transfer implementation using PyTorch > ONNX Inference

Fast Style Transfer using Tensorflow 2

Mobile app to bring Neural Style Transfer into a more accessible format.

A style-attention-void-aware style transfer model that learns the blank-leaving information during the style transfer.

Fast Neural Style Transfer implemented in Tensorflow 2

There is a fast_neural_style_transfer object by tensorflow , and now it works not good

This repository contains a pytorch implementation of an algorithm for fast neural style

Compiled models for JavaScript WebDNN GPU

Built an interactive deep learning app with Streamlit and PyTorch to apply for style transfer.

快速风格迁移部署

🎨 Implementation of Fast Neural Style Transfer proposed by Justin Johnson et al. in the paper Perceptual Losses for Real-Time Style Transfer and Super-Resolution