Use denoising diffusion implicit model for bridge-type innovation. The process of adding noise and denoising to an image can be likened to the process of a corpse rotting and a detective restoring the scene of a victim being killed, to help beginners understand. Through an easy-to-understand algebraic method, derive the function formulas for adding noise and denoising, making it easier for beginners to master the mathematical principles of the model. Using symmetric structured image dataset of three-span beam bridge, arch bridge, cable-stayed bridge and suspension bridge , based on Python programming language, TensorFlow and Keras deep learning platform framework , denoising diffusion implicit model is constructed and trained. From the latent space sampling, new bridge types with asymmetric structures can be generated. Denoising diffusion implicit model can organically combine different structural components on the basis of human original bridge types, and create new bridge types.

翻译：使用去噪扩散隐式模型进行桥型创新。将图像加噪与去噪过程类比为尸体腐烂与侦探还原受害者遇害现场的过程，以帮助初学者理解。通过易于理解的代数方法推导加噪与去噪的函数公式，便于初学者掌握该模型的数学原理。利用由三跨梁桥、拱桥、斜拉桥和悬索桥对称结构图像构成的数据集，基于Python编程语言、TensorFlow和Keras深度学习平台框架，构建并训练了去噪扩散隐式模型。通过从潜在空间采样，可生成具有非对称结构的新型桥梁。去噪扩散隐式模型能够在人类原有桥型基础上有机融合不同结构构件，进而创造出新的桥型。