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

Compiled models for JavaScript WebDNN GPU

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

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