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  2. Stable Diffusion - Wikipedia

    en.wikipedia.org/wiki/Stable_Diffusion

    Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom .

  3. DreamBooth - Wikipedia

    en.wikipedia.org/wiki/DreamBooth

    DreamBooth is a deep learning generation model used to personalize existing text-to-image models by fine-tuning. It was developed by researchers from Google Research and Boston University in 2022. Originally developed using Google's own Imagen text-to-image model, DreamBooth implementations can be applied to other text-to-image models, where it ...

  4. Stability AI - Wikipedia

    en.wikipedia.org/wiki/Stability_AI

    Stability AI was founded in 2019 [citation needed] by Emad Mostaque, who also initially funded the company. [ 1] In August 2022 Stability AI rose to prominence with the release of its source and weights available text-to-image model Stable Diffusion. On March 23rd 2024 Emad Mostaque stepped down from his position as CEO.

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  6. Diffusion model - Wikipedia

    en.wikipedia.org/wiki/Diffusion_model

    In machine learning, diffusion models, also known as diffusion probabilistic models or score-based generative models, are a class of latent variable generative models. A diffusion model consists of three major components: the forward process, the reverse process, and the sampling procedure. [ 1] The goal of diffusion models is to learn a ...

  7. Fick's laws of diffusion - Wikipedia

    en.wikipedia.org/wiki/Fick's_laws_of_diffusion

    Under an idealized reaction condition for A + B → product in a diluted solution, Smoluchovski suggested that the molecular flux at the infinite time limit can be calculated from Fick's laws of diffusion yielding a fixed/stable concentration gradient from the target molecule, e.g. B is the target molecule holding fixed relatively, and A is the ...

  8. Diffusion map - Wikipedia

    en.wikipedia.org/wiki/Diffusion_map

    Diffusion maps exploit the relationship between heat diffusion and random walk Markov chain. The basic observation is that if we take a random walk on the data, walking to a nearby data-point is more likely than walking to another that is far away.

  9. Anomalous diffusion - Wikipedia

    en.wikipedia.org/wiki/Anomalous_diffusion

    Anomalous diffusion is a diffusion process with a non-linear relationship between the mean squared displacement (MSD), , and time. This behavior is in stark contrast to Brownian motion, the typical diffusion process described by Einstein and Smoluchowski, where the MSD is linear in time (namely, with d being the number of dimensions and D the ...