diffusion-models-supplanted-gans-text-to-image
IN premise — entries/2026/06/21/wiki-Generative_adversarial_network-chunk-7.md
Created 2026-06-21T09:55:50+00:00
Latent diffusion models (Stable Diffusion, DALL-E) have largely supplanted GANs as the dominant approach for text-to-image generation tasks
Dependents
These beliefs depend on this one:
- IN generative-modeling-paradigm-succession — Generative modeling has seen a significant shift: GANs, introduced in 2014, were largely supplanted by diffusion models (such as DALL-E 2 and Stable Diffusion) from approximately 2022 onward, particularly for text-to-image generation, suggesting that even widely adopted adversarial training frameworks can be overtaken by alternative approaches.