Unverified50% confidenceFactExact time
主流图像生成模型基于扩散模型架构，生成一张图像需要执行20-50步去噪迭代
1
Sources
50%
Confidence
Long-term
Relevance
8/27/2026
First Seen
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Unverified基于扩散模型的数据增强利用Stable Diffusion等生成模型将合成渲染图像风格化为更接近真实照片的外观，同时保留原有几何标注信息78% similarUnverifiedThe underlying technology of text-to-image is typically based on diffusion models, which generate images by progressively denoising a noisy image.75% similarUnverifiedImagen 基于级联扩散模型（Cascaded Diffusion Model）架构74% similarUnverifiedImage2 migrated image generation from standalone diffusion models (such as the cascaded diffusion architecture used by DALL·E 3) to an autoregressive token generation paradigm.72% similarUnverifiedCurrent mainstream text-to-video models are generally based on diffusion model architectures, generating coherent video frame sequences by extending image generation capability along the temporal dimension.71% similar
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