Review
Open access
2026
A Comprehensive Survey of Generative AI: Applications and Future Directions Across Domains
The review shows that diffusion and autoregressive foundation models increasingly dominate high-fidelity image, language, and multimodal generation, while GANs, VAEs, and flow-based models remain important in data-limited, structured, scientific, and privacy-aware settings.
A. Javadpour, F. Ja’fari, T. Taleb et al.
· IEEE Access · 0 citations