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The Latent Diffusion Model (LDM) [1] is a diffusion model architecture developed by the CompVis (Computer Vision & Learning) [2] group at LMU Munich. [ 3 ] Introduced in 2015, diffusion models (DMs) are trained with the objective of removing successive applications of noise (commonly Gaussian ) on training images.
The goal of diffusion models is to learn a diffusion process for a given dataset, such that the process can generate new elements that are distributed similarly as the original dataset. A diffusion model models data as generated by a diffusion process, whereby a new datum performs a random walk with drift through the space of all possible data. [2]
The name diffusion is from the thermodynamic diffusion, since they were first developed with inspiration from thermodynamics. [13] [14] Models in Stable Diffusion series before SD 3 all used a variant of diffusion models, called latent diffusion model (LDM), developed in 2021 by the CompVis (Computer Vision & Learning) [15] group at LMU Munich ...
Frank Dance's helical model of communication was initially published in his 1967 book Human Communication Theory. [161] [162] [163] It is intended as a response to and an improvement over linear and circular models by stressing the dynamic nature of communication and how it changes the participants. Dance sees the fault of linear models as ...
Logical data model, a representation of an organization's data, organized in terms of entities and relationships; Logical Disk Manager; Local Data Manager; LTSP Display Manager, an X display manager for Linux Terminal Server Project; Latent diffusion model, in machine learning; Latitude dependent mantle, a widespread layer of ice-rich material ...
Everett M. "Ev" Rogers (March 6, 1931 – October 21, 2004) was an American communication theorist and sociologist, who originated the diffusion of innovations theory and introduced the term early adopter.
A model of communication is a simplified presentation that aims to give a basic explanation of the process by highlighting its most fundamental characteristics and components. [16] [8] [17] For example, James Watson and Anne Hill see Lasswell's model as a mere questioning device and not as a full model of communication. [10]
The Bass diffusion model is used to estimate the size and growth rate of these social networks. The work by Christian Bauckhage and co-authors [ 10 ] shows that the Bass model provides a more pessimistic picture of the future than alternative model(s) such as the Weibull distribution and the shifted Gompertz distribution.