Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

PyTorch implementation of neural style transfer algorithm

Tensorflow (Python API) implementation of Deep Photo Style Transfer

风格迁移三部曲

DeepAFx-ST - Style transfer of audio effects with differentiable signal processing. Please see https://csteinmetz1.github.io/DeepAFx-ST/

Implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" in PyTorch

TensorFlow implementation of Neural Style Transfer in TouchDesigner

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Audio style transfer AI

StyleMesh optimizes a stylized texture for an indoor scene reconstruction (CVPR2022).

Pytorch implementation from scratch of [Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization [Huang+, ICCV2017]]

Real-time neural style transfer via meta networks

The style transfer paper collection in International CV conference

The style transfer android example

Some interesting method like style transfer, GAN, deep neural networks for Chinese character and calligraphic image processing

🖼️ PortraitStylization - A Pytorch style transfer algorithm optimized for human faces. Based on the paper "A Neural Algorithm of Artistic Style" (https://arxiv.org/abs/1508.06576)

Style Transfer training and using the model in ml5js

Turn Your Videos/photos/Gif into Art

Unofficial Pytorch(1.0+) implementation of paper [Fast Patch-based Style Transfer of Arbitrary Style](https://arxiv.org/abs/1612.04337).

Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks (ICLR 2022)

CVPR '21: In the light of feature distributions: Moment matching for Neural Style Transfer

Using reference images to control style in text-to-image diffusion models. Based on CSD and IP Adapter

U-2-Net: U Square Net - Modified for paired image training of style transfer

Official Implementation of AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks

Style Transfer example with ml5.js, training the model with Spell.run

Reference code for the paper CAMS: Color-Aware Multi-Style Transfer.

Demonstration implementations of neural network image processing algorithms

Implementation of the paper A Learned Representation for Artistic Style (Conditional instance normalization)

EbSynth is hard to use... Lot's of turning videos into image sequences, resizing style images to fit the original frames, renaming the style images to be named like the original frame and lot's more. I didn't want to do that every single time so I just automated it. Kind of. And it's still a work in progress. But it does what it's supposed to do. Make using EbSynth easier... That's why it's called EzEb.