styletransfer

adobe-research/DeepAFx-ST

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

JinchengKim/StyleTransfer-iOS

shrimai/Style-Transfer-Through-Back-Translation

rupeshs/neuralsongstyle

Audio style transfer AI

irasin/Pytorch_AdaIN

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

lukasHoel/stylemesh

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

neuralchen/awesome_style_transfer

The style transfer paper collection in International CV conference

nihui/ncnn-android-styletransfer

The style transfer android example

MingtaoGuo/Chinese-Character-and-Calligraphic-Image-Processing

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

thiagoambiel/PortraitStylization

🖼️ 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)

rupeshs/neuralstyler

Turn Your Videos/photos/Gif into Art

irasin/Pytorch_Style_Swap

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

ZPdesu/MindTheGap

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

aihao2000/IP-Adapter-Art

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

mahmoudnafifi/color-aware-style-transfer

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

jeremyssocial/EzEb

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.

MingtaoGuo/Conditional-Instance-Norm-for-n-Style-Transfer

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

puneet29/stylizeapp

A flask website for style transfer

entiretydotai/Meetup-Content

Entirety.ai Intuition to Implementation Meetup Content.

svjack/Stable-Diffusion-Chinese-Extend

A fine tune version of Stable Diffusion model on self-translate 10k diffusiondb Chinese Corpus and "extend" it

sunwoo76/Deep_Translation_Prior

Official repository for Deep Translation Prior: Test-time Training for Photorealistic Style Transfer (AAAI 2022)

neverbiasu/Awesome-Portraits-Style-Transfer

A curated collection of papers on portrait style transfer

Alvinhech/resnet-autoencoder

course project for ECS 269

dypark86/SANET

"Arbitrary Style Transfer with Style-Attentional Networks" (CVPR 2019)

YongWookHa/pose2pose

pose2pose, everybody dance now python implementation

Suvoo/Image-Style-Transfer-Using-CNNs

Implementation of Image Style Transfer Using CNNs using Pytorch.

AhmetFurkanDEMIR/StylePY

Neural style transfer project with Flask

puneet29/StyleTransferApp

A command line app for fast style transfer.

irasin/Pytorch_MST

Unofficial Pytorch(1.0+) implementation of ICCV 2019 paper "Multimodal Style Transfer via Graph Cuts"

thu-coai/NAST

Codes for "NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer" (ACL 2021 findings)

hirokic5/Pytorch_CamouflageImages

Generate Camouflage Images by Pytorch

pattrickx/StyleTransfer

Open source style transfer project, based on VGG19

SALT-NLP/FormalityStyleTransfer

Code for "Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization"

vTuanpham/Style_transfer

Artistic image style transfer implement in pytorch

DauteRR/Stransfer

Web application that lets you take pictures and apply styles to them :art: