# ARE GENERATIVE ADVERSARIAL NETWORKS CAPABLE OF GENERATING NOVEL AND DIVERSE DESIGN CONCEPTS? AN EXPERIMENTAL ANALYSIS OF PERFORMANCE

> Research article (Proceedings of the Design Society, 2023) · cited 14× · AI/ML

**Wikidata**: [openalex:W4381165070](https://www.wikidata.org/wiki/openalex:W4381165070)  
**Source**: https://4ort.xyz/entity/are-generative-adversarial-networks-capable-of-generating-novel-and-diverse-design-concepts-an-experimental-analysis-of-