Popular GitHub Repositories for Style Transfer

TensorFlow CNN for fast style transfer ????

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

TensorFlow (Python API) implementation of Neural Style

Learning Chinese Character style with conditional GAN

Paper List for Style Transfer in Text

An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]

Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Arbitrary style transfer using TensorFlow.js

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

PyTorch implementation of neural style transfer algorithm

Official implementation of "DCT-Net: Domain-Calibrated Translation for Portrait Stylization", SIGGRAPH 2022 (TOG); Multi-style cartoonization

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

Official PyTorch implementation of "BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation" (NeurIPS 2021)

A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

TensorFlow implementation for audio neural style.

Repository for the "Machine Learning for the Web" class at ITP, NYU

Audio style transfer with shallow random parameters CNN.