diffusion models, also known as diffusion probabilistic models or score-based generative models, are a class of latent variable generative models. A...

The Latent Diffusion Model (LDM) is a diffusion model architecture developed by the CompVis (Computer Vision & Learning) group at LMU Munich. Introduced...

Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology...

The Bass model or Bass diffusion model was developed by Frank Bass. It consists of a simple differential equation that describes the process of how new...

Reaction–diffusion systems are mathematical models that correspond to several physical phenomena. The most common is the change in space and time of the...

behind DALL-E 3. According to OpenAI, Sora is a diffusion transformer – a denoising latent diffusion model with one Transformer as the denoiser. A video...

photographs and human-drawn art. Text-to-image models are generally latent diffusion models, which combine a language model, which transforms the input text into...

series of text-to-image models. The models are based on a hybrid architecture that combines multimodal and parallel diffusion transformer blocks scaled...

diffusion tensor. The diffusion tensor model is a rather simple model of the diffusion process, assuming homogeneity and linearity of the diffusion within...

Diffusion of innovations is a theory that seeks to explain how, why, and at what rate new ideas and technology spread. The theory was popularized by Everett...

video diffusion models. There are different models, including open source models. Chinese-language input CogVideo is the earliest text-to-video model "of...

Text-to-Image Diffusion Models". imagen.research.google. Archived from the original on 2024-03-27. Retrieved 2024-04-04. "Pretrained models — transformers...

1967: jump diffusion of rotational degrees of freedom Hall, Ross 1981: jump diffusion within a restricted volume A jump-diffusion model is a form of...

language models developed by Anthropic. The first model was released in March 2023. The Claude 3 family, released in March 2024, consists of three models: Haiku...

alternatives could be tracked separately. The drift-diffusion model (DDM) is a well defined model, that is proposed to implement an optimal decision policy...

Facilitated diffusion (also known as facilitated transport or passive-mediated transport) is the process of spontaneous passive transport (as opposed...

spinodal decomposition. Diffusion is a stochastic process due to the inherent randomness of the diffusing entity and can be used to model many real-life stochastic...

company co-released an improved version of their Latent Diffusion Model called Stable Diffusion together with the CompVis Group at Ludwig Maximilian University...

to model many real-life stochastic systems. Brownian motion, reflected Brownian motion and Ornstein–Uhlenbeck processes are examples of diffusion processes...

transformer-based models are used for text-to-image technologies such as diffusion and parallel decoding. Such kinds of models can serve as visual foundation models (VFMs)...

(2022), Phenaki (2023), and Muse (2023). Unlike later models, DALL-E is not a diffusion model. Instead, it uses a decoder-only Transformer that autoregressively...

Demic diffusion, as opposed to trans-cultural diffusion, is a demographic term referring to a migratory model, developed by Luigi Luca Cavalli-Sforza...

diffusion modeling provides one promising theoretical model. Diffusion modeling partitions RT into residual "non-decision" and stochastic "diffusion"...

Willison, compared LLaMA to Stable Diffusion, a text-to-image model which, unlike comparably sophisticated models which preceded it, was openly distributed...

users to generate images from a text prompt. It uses Stable Diffusion as the base model for its image capabilities together with a large set of extensions...

from a series of text prompts. It uses free diffusion models such as Stable Diffusion as the base model for its image capabilities combined with other...

text vectors are used as conditioning on a diffusion model. As another example, the AuraFlow diffusion model uses Pile-T5-XL. Raffel, Colin; Shazeer, Noam;...

In business, diffusion is the process by which a new idea or new product is accepted by the market. The rate of diffusion is the speed with which the new...

addition to simple diffusion. These models can be applied to limb formation and teeth development among other examples. Reaction-diffusion models can be used...

seen as a local volatility model d F t = v d W t {\displaystyle dF_{t}=v\,dW_{t}} . In the Bachelier model the diffusion coefficient is a constant v...