An archive of studies related to portrait style transfer
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Updated
Aug 19, 2024
An archive of studies related to portrait style transfer
Informal to formal dataset mask MLM
Using reference images to control style in text-to-image diffusion models. Based on CSD and IP Adapter
transfer the style images (Aiogram3, Docker, StyleTransfer, CycleGAN)
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer
The style transfer android example
Style Transfer Using Generative Adversarial Networks for Brain MRI Enhancement
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…
Arbitrary style transformation of an input image, video, or camera source
Interactive Style Transfer GUI - a system that pioneers the integration of neural style transfer with precise localization for a fully customizable artistic experience.
Artistic image style transfer implement in pytorch
StyleMesh optimizes a stylized texture for an indoor scene reconstruction (CVPR2022).
Generate Camouflage Images by Pytorch
DeepAFx-ST - Style transfer of audio effects with differentiable signal processing. Please see https://csteinmetz1.github.io/DeepAFx-ST/
A fine tune version of Stable Diffusion model on self-translate 10k diffusiondb Chinese Corpus and "extend" it
Reference code for the paper CAMS: Color-Aware Multi-Style Transfer.
Photos stylisation using deep neural networks: anime and art style.
cs231n assignments.
PyTorch implementation of neural style transfer algorithm
The style transfer paper collection in International CV conference
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