PyTorch implementation of neural style transfer algorithm

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

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]]

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)

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)

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

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

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

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…

A flask website for style transfer