Neural style transfer using RNN. Final project for art course!
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Updated
Dec 13, 2022 - Python
Neural style transfer using RNN. Final project for art course!
Generative AI style transfer for landscapes. Interface for the QuantArt implementation.
A tensorflow implementation for fast neural style!
Artistic style transfer between images using convolutional networks
• Prose Style Transfer - Final Project.
StyleTx is a python project that applies effects of one image to another image using machine learning.
Multi-scale style transfer with a pyramid of fully convolutional GANs inspired from "SinGAN: Learning a Generative Model from a Single Natural Image" (ICCV 2019)
We implement the AdaIN model for neural style transfer purpose.
Real Time Segmentation + Style Transfer를 사용한 옷의 색상 및 스타일의 변환입니다. SGM AI 1기 프로젝트
An implementation of the arXiv preprint A Neural Algorithm of Artistic Style
1st place solution for MICCAI challenge CrossMoDA 2023 (unsupervised domain adaptation for medical images)
Pytorch re-implementation of paper Arbitrary Style Transfer with Style-Attentional Networks
High-Resolution Image Synthesis with Latent Diffusion Models. Fork with code from [this repo](https://gist.github.com/trygvebw/c71334dd127d537a15e9d59790f7f5e1), used 'cause there's no fixed code option that's actually work
Implementation of a few neural style transfer techniques
This is a fast neural style transfer implement with Keras 2.
Style Transfer with Keras
Transfer style from two different images with different weights onto a content image
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