{"slug": "measuring-similarity-between-artistic-and-ai-generated-images-using-siamese", "title": "Measuring Similarity between Artistic and AI Generated Images using Siamese Neural Networks", "summary": "A new arXiv study (2608.28671v1) quantifies similarity between original artworks and images generated by Stable Diffusion XL Refiner 1.0, reporting that prior studies found up to 81% style replication and 90% visual similarity. Using Siamese Networks with frozen CLIP encoders and cosine similarity optimized through triplet loss, the researchers achieved 99.9% training accuracy and 99.4% test accuracy with strong inter-class separation (δμ = 0.677), demonstrating effective semantic-visual embeddings for detecting AI-generated art plagiarism.", "body_md": "arXiv:2608.28671v1 Announce Type: new\nAbstract: AI-generated art has sparked debates around potential plagiarism, as these images may closely resemble existing artworks. This research quantifies the similarity between original pieces and AI-generated counterparts, particularly those produced by the Stable Diffusion XL Refiner 1.0. We use Siamese Networks with frozen CLIP encoders and cosine similarity optimized through triplet loss. A dataset of paired original and generated images was built using image-to-image generation and custom prompts, enriched with semantic descriptors and BLIP-2 captions. Prior studies report up to 81\\% style replication and 90\\% visual similarity. Our results show high discriminative performance: training accuracy reached 99.9\\%, and the best model configuration achieved 99.4\\% test accuracy with strong inter-class separation ($\\delta \\mu$ = 0.677), demonstrating the effectiveness of our semantic-visual embeddings.", "url": "https://wpnews.pro/news/measuring-similarity-between-artistic-and-ai-generated-images-using-siamese", "canonical_source": "https://arxiv.org/abs/2608.28671", "published_at": "2026-09-01 04:00:00+00:00", "updated_at": "2026-09-01 04:22:14.393703+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "computer-vision", "generative-ai"], "entities": ["arXiv", "Stable Diffusion XL Refiner 1.0", "Siamese Networks", "CLIP", "BLIP-2"], "alternates": {"html": "https://wpnews.pro/news/measuring-similarity-between-artistic-and-ai-generated-images-using-siamese", "markdown": "https://wpnews.pro/news/measuring-similarity-between-artistic-and-ai-generated-images-using-siamese.md", "text": "https://wpnews.pro/news/measuring-similarity-between-artistic-and-ai-generated-images-using-siamese.txt", "jsonld": "https://wpnews.pro/news/measuring-similarity-between-artistic-and-ai-generated-images-using-siamese.jsonld"}}