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]]
The style transfer android example
Entirety.ai Intuition to Implementation Meetup Content.
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).
The style transfer paper collection in International CV conference
Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks (ICLR 2022)
pose2pose, everybody dance now python implementation
Reference code for the paper CAMS: Color-Aware Multi-Style Transfer.
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
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