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Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...
The term "generative 3D modelling" describes a different paradigm for describing shape. The main idea is to replace 3D objects by object-generating operations: A shape is described by a sequence of processing steps, rather than the triangles which are the result of applying these operations. Shape design becomes rule design.
Ideogram was founded in 2022 by Mohammad Norouzi, William Chan, Chitwan Saharia, and Jonathan Ho to develop a better text-to-image model. [3]It was first released with its 0.1 model on August 22, 2023, [4] after receiving $16.5 million in seed funding, which itself was led by Andreessen Horowitz and Index Ventures.
Stability AI has made contributions to the field of generative AI, most notably through Stable Diffusion. This AI model allows images to be generated from textual descriptions. Beyond Stable Diffusion, Stability AI also develops Video, Audio, 3D, and text models. [13]
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.
3D printing, or additive manufacturing, is the construction of a three-dimensional object from a CAD model or a digital 3D model. [1] [2] [3] It can be done in a variety of processes in which material is deposited, joined or solidified under computer control, [4] with the material being added together (such as plastics, liquids or powder grains being fused), typically layer by layer.
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