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  2. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.

  3. Harvard Laboratory for Computer Graphics and Spatial Analysis

    en.wikipedia.org/wiki/Harvard_Laboratory_for...

    Scott's intimate knowledge of the Odyssey geoprocessing model and code base, combined with Jack's insights into how to put the 'IS' in 'GIS' evolved the Laboratory's GIS prototype processors into a system that could effectively and interactively manage, process, edit, and display vector geodata and its scalar attributes that addressed evolving ...

  4. Artificial intelligence art - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_art

    He received an M.S. in computer graphics from the MIT Media Lab in 1987 and was artist-in-residence from 1990 to 1996 at the supercomputer manufacturer and artificial intelligence company Thinking Machines. [19] [20] [21] In both 1991 and 1992, Sims won the Golden Nica award at Prix Ars Electronica for his 3D AI animated videos using artificial ...

  5. Latent diffusion model - Wikipedia

    en.wikipedia.org/wiki/Latent_Diffusion_Model

    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.

  6. Diffusion model - Wikipedia

    en.wikipedia.org/wiki/Diffusion_model

    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]

  7. Computer-generated imagery - Wikipedia

    en.wikipedia.org/wiki/Computer-generated_imagery

    Computer-generated imagery (CGI) is a specific-technology or application of computer graphics for creating or improving images in art, printed media, simulators, videos and video games. These images are either static (i.e. still images ) or dynamic (i.e. moving images).

  8. Diffusion curve - Wikipedia

    en.wikipedia.org/wiki/Diffusion_curve

    Diffusion curves are vector graphic primitives for creating smooth-shaded images. Each diffusion curve partitions the 2D graphics space through which it is drawn, defining different colors on either side. When rendered, these colors then spread into the regions on either side of the curve in a way analogous to diffusion. The colors may also be ...

  9. Computer graphics - Wikipedia

    en.wikipedia.org/wiki/Computer_graphics

    A Blender screenshot displaying the 3D test model Suzanne. Computer graphics deals with generating images and art with the aid of computers.Computer graphics is a core technology in digital photography, film, video games, digital art, cell phone and computer displays, and many specialized applications.