Unverified50% confidenceFactExact time
生成式模型从早期的GAN发展到扩散模型（如Stable Diffusion）和自回归大语言模型（如ChatGPT）
1
Sources
50%
Confidence
Long-term
Relevance
8/18/2026
First Seen
Sources
Related Claims
UnverifiedThe dominant technology for image generation has evolved from GANs to diffusion models, with both DALL·E 2 and Stable Diffusion based on diffusion model principles.73% similarVerifiedCompared to GANs, diffusion models show significant improvements in detail restoration, style consistency, and controllability.68% similarUnverified扩散模型（如Stable Diffusion）通过逐步去噪还原图像，擅长细节纹理；自回归多模态模型（如GPT Image 2）在理解复杂文字指令和保持角色一致性方面更具优势66% similarUnverifiedDiffusion models surpass the previously dominant GAN architecture in detail fidelity by learning the reverse process of gradually restoring images from noise.66% similarUnverifiedCurrent mainstream text-to-image models include Stable Diffusion, DALL-E, and Midjourney, while text-to-video models include Sora, the Runway Gen series, and the underlying model of Jimeng AI.65% similar
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