Unverified50% confidenceSolutionExact time
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
1
Sources
50%
Confidence
Long-term
Relevance
7/15/2026
First Seen
Sources
Blender程序化生成合成数据：CV模型测试与标注新方案
Related Claims
Unverified科研图像生成通常使用Stable Diffusion系列或DALL·E等扩散模型作为渲染后端85% similarUnverifiedImagen 基于级联扩散模型（Cascaded Diffusion Model）架构79% 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.77% similarUnverifiedCommon video generation models include Kling, Wan, Sora, and CogVideoX, while image generation models include Stable Diffusion and FLUX.73% similarUnverifiedRepresentative products of text-to-image generation models include Stable Diffusion, Midjourney, and the DALL·E series, which are trained on billions of image-text pairs.72% similar
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