ai4-metadata.yml

metadata_version: 2.0.0
title: Artistic Style Transfer
summary: A module to apply artistic style transfer using Pytorch.
description: |-
  This is neural_transfer application using DEEPaaS API.
  
  The module allows you to take the content of an image and reproduce it with a new artistic style using the style of a different image.

  The code is based on the [Faster Neural Style Pytorch](https://github.com/pytorch/examples/tree/master/fast_neural_style) example that implements 
  the method described in _Perceptual Losses for Real-Time Style Transfer and Super-Resolution_ developed by Justin Johnson, Alexandre Alahia and Li Fei-Fei [1].
  
  **References**
  1. Justin Johnson, Alexandre Alahi, Li Fei-Fei, Perceptual Losses for Real-Time Style Transfer and Super-Resolution, <a href=https://arxiv.org/abs/1603.08155>arXiv:1603.08155 [cs.CV]</a>
dates:
  created: '2020-04-09'
  updated: '2024-08-12'
links:
  source_code: https://github.com/ai4os-hub/fast-neural-transfer
  docker_image: ai4oshub/fast-neural-transfer
  ai4_template: ai4-template/v1.0.0
tags:
  - deep learning
  - image style transfer
tasks:
  - Computer Vision
categories:
  - AI4 pre trained
  - AI4 inference
libraries:
  - PyTorch
data-type:
  - Image