pytorch-neural-style-transfer and Neural-Style-Transfer

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 0/25
Adoption 8/25
Maturity 16/25
Community 18/25
Stars: 445
Forks: 94
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 55
Forks: 13
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: GPL-2.0
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About pytorch-neural-style-transfer

gordicaleksa/pytorch-neural-style-transfer

Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.

This project helps artists, designers, and hobbyists transform ordinary photographs into unique artworks. By combining a content image (like a photo of a bridge) with a style image (like a famous painting), it generates a new image that retains the subject of the photo but applies the artistic style of the painting. This allows users to create visually striking, stylized images without needing advanced art skills.

digital-art photo-manipulation graphic-design creative-imaging visual-effects

About Neural-Style-Transfer

deepeshdm/Neural-Style-Transfer

Creating digital art using Neural Network based Style Transfer.

This tool helps you transform ordinary photographs into digital artwork by applying the visual style of another image, such as a famous painting. You provide a "content" image (your photo) and a "style" image (the artwork), and it generates a new image that looks like your photo painted in the chosen style. Artists, digital creators, or anyone wanting to create unique visual content would find this useful.

digital-art photo-editing creative-imaging visual-content-creation

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