PyTorch implementation of neural style transfer algorithm
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Updated
Oct 15, 2022 - Python
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/
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).
pose2pose, everybody dance now python implementation
Implementation of the paper A Learned Representation for Artistic Style (Conditional instance normalization)
Official repository for Deep Translation Prior: Test-time Training for Photorealistic Style Transfer (AAAI 2022)
A command line app for fast style transfer.
A fine tune version of Stable Diffusion model on self-translate 10k diffusiondb Chinese Corpus and "extend" it
Fast Style Transfer 快速風格轉移 (Using Tensorflow)
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…
Generate Camouflage Images by Pytorch
Code for "Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization"
Image-to-Image Translation with Conditional Adversarial Networks
course project for ECS 269
Unofficial Pytorch(1.0+) implementation of ICCV 2019 paper "Multimodal Style Transfer via Graph Cuts"
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