Generative AI Model for Artistic Style Transfer Using Convolutional Neural Networks

Jonayet Miah, Duc M Cao, Md Abu Sayed, Md. Sabbirul Haque
10/27/2023
cs.CVcs.HC

No official code found. Best implementation: hnarayanan/artistic-style-transfer (353 stars, TensorFlow, last commit 2017-12-07).

Abstract

Artistic style transfer, a captivating application of generative artificial intelligence, involves fusing the content of one image with the artistic style of another to create unique visual compositions. This paper presents a comprehensive overview of a novel technique for style transfer using Convolutional Neural Networks (CNNs). By leveraging deep image representations learned by CNNs, we demonstrate how to separate and manipulate image content and style, enabling the synthesis of high-quality images that combine content and style in a harmonious manner. We describe the methodology, including content and style representations, loss computation, and optimization, and showcase experimental results highlighting the effectiveness and versatility of the approach across different styles and content

View on arXivView PDF

Code Implementations(1)

hnarayanan/artistic-style-transferCommunity70%
TensorFlow

Convolutional neural networks for artistic style transfer.

35377Jupyter NotebookFeb 12, 20178 years ago
convolutional-neural-networkskerastalktensorflowtutorial-code

Similar Papers

A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive Learning

90% match2023

Region-controlled Style Transfer

89% match2023

Arbitrary Style Transfer with Structure Enhancement by Combining the Global and Local Loss

89% match2022

D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods

88% match1 repo132024

Artistic Neural Style Transfer Algorithms with Activation Smoothing

88% match2024

ITstyler: Image-optimized Text-based Style Transfer

88% match2023

Cite this paper

@article{miah2023generative,
  title  = {Generative AI Model for Artistic Style Transfer Using Convolutional Neural Networks},
  author = {Jonayet Miah and Duc M Cao and Md Abu Sayed and Md. Sabbirul Haque},
  year   = {2023},
  eprint = {2310.18237},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2310.18237v2}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2310.18237.svg)](https://codeofpaper.com/paper/2310.18237)

Discussion