wikiart

ArtGAN + WikiArt: This work presents a series of new approaches to improve GAN for conditional image synthesis and we name the proposed model as “ArtGAN”.

Learning to ground explanations of affect for visual art.

Image Outpainting and Harmonization using GANs - PyTorch Implementation (official)

Python package for downloading art and metadata of WikiArt and Google Arts & Culture

This repository contains two scrapers for wikiart.org. One fetches information and images about artworks and other about artists.

FeelingBlue: A Corpus for Understanding the Emotional Connotation of Color in Context, accepted at TACL 2022, presented at ACL 2023

Repository for generating arts using modern algorithms such as deep convolutional generative nets or conv. variational autoencoders where data/images to be learned is scraped from wikiart.org

GNOME Shell Extension that changes your desktop wallpaper to WikiArt's Artwork of the day with single click.

Conditional denoising diffusion probabilistic model trained in latent space.

Python CLI that customizes your macOS desktop background with beautiful artwork.

Automatically download all the art works in WikiAart. / 自動化下載 www.wikiart.org 的所有畫作。

A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.

PPR - Portrait Painting Recommendation System - Using Deep Learning (MobileNet Model, Wikiart dataset)

Discover movies, TV series and paintings and manage them.

Pelican plugin that insert thumbnails along image links

Source code for the paper "Influence beyond similarity: a Contrastive Learning approach to Object Influence Retrieval".

Wikiart.com's data scrapped at 12/2020

AI-powered tool designed to create , analyze and critique an artwork.

A convolutional network in Java/DL4J classifying paintings into 7 art styles, reaching 51.4% test accuracy on 14.7k cleaned WikiArt images. Errors concentrate along art-historically adjacent styles. Includes a Swing desktop UI for single-image prediction.

Surreal artz is a project I made to explore surreal paintings using the wiki artz api