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

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

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)

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

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

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

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

course project for ECS 269

pose2pose, everybody dance now python implementation

Neural style transfer project with Flask

A command line app for fast style transfer.

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

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

Generate Camouflage Images by Pytorch