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Training a text-to-image model requires a dataset of images paired with text captions. One dataset commonly used for this purpose is the COCO dataset. Released by Microsoft in 2014, COCO consists of around 123,000 images depicting a diversity of objects with five captions per image, generated by human annotators.
The company was founded by Jack Hannes (1923-2005). Born in Germany and educated in England, Hannes' family fled Germany for Australia in 1939. [3] After becoming involved in the import of photographic products in the years following the end of World War II, Hannes formed Hanimex (an abbreviation of "HANnes" "IMport" "EXport") [3] in 1947.
CLIP is a separate model based on contrastive learning that was trained on 400 million pairs of images with text captions scraped from the Internet. Its role is to "understand and rank" DALL-E's output by predicting which caption from a list of 32,768 captions randomly selected from the dataset (of which one was the correct answer) is most ...
Khronos also maintains the glTF Validator for validating if 3D models conform to the glTF specification. [39] [40] glTF loaders are in open-source WebGL engines including PlayCanvas, Three.js, Babylon.js, Cesium, PEX, xeogl, and A-Frame. The Godot game engine supports and recommends the glTF format, with both import and export support. [41] [42]
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A 3-D model is a mathematical representation of any three-dimensional object; a model is not technically a graphic until it is displayed. A model can be displayed visually as a two-dimensional image through a process called 3-D rendering , or it can be used in non-graphical computer simulations and calculations.
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VCell allows users integrated access to a variety of sources to help build and annotate models: Models stored in the VCell database can be made accessible by their authors to some users (shared) or all users (public). VCell can import models from the BioModels Database. [12] Biological pathways can be imported from Pathway Commons. [13]