Summary of Artbrain: An Explainable End-to-end Toolkit For Classification and Attribution Of Ai-generated Art and Style, by Ravidu Suien Rammuni Silva et al.
ArtBrain: An Explainable end-to-end Toolkit for Classification and Attribution of AI-Generated Art and Style
by Ravidu Suien Rammuni Silva, Ahmad Lotfi, Isibor Kennedy Ihianle, Golnaz Shahtahmassebi, Jordan J. Bird
First submitted to arxiv on: 2 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computer Vision and Pattern Recognition (cs.CV)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces AI-ArtBench, a dataset comprising 185,015 artistic images across 10 art styles, including 125,015 AI-generated images and 60,000 human-created artworks. The authors propose a novel Convolutional Neural Network model, AttentionConvNeXt, based on the ConvNeXt model, which accurately detects AI-generated images and traces them to their source model with an F1-Score of 0.869. The accuracy of attribution to the generative model reaches 0.999. A web-based application named ArtBrain enables users to interact with the model. An Artistic Turing Test reveals that humans can identify AI-generated images with approximately 58% accuracy, while the model achieves a significantly higher accuracy of around 99%. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AI researchers have created a huge collection of artistic images using Artificial Intelligence (AI). They want to find out how good they are at making fake artwork that looks real. To do this, they developed a new AI model called AttentionConvNeXt. This model is really good at telling if an image was made by a human or a computer. The researchers also built a special website where people can try using the model to identify AI-generated images. |
Keywords
» Artificial intelligence » F1 score » Generative model » Neural network
