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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.
The technology democratizes a space previously only accessible by teams of VFX artists with expensive assets. Neural radiance fields now allow anyone with a camera to create compelling 3D environments. [3] NeRF has been combined with generative AI, allowing users with no modelling experience to instruct changes in photorealistic 3D scenes. [17]
The big model is used as a "Teacher" model to impart its knowledge and power to smaller ‘Student’ models — a process widely used in the field of generative AI. The small models are optimized ...
Generative design is an iterative design process that uses software to generate outputs that fulfill a set of constraints iteratively adjusted by a designer. Whether a human, test program, or artificial intelligence , the designer algorithmically or manually refines the feasible region of the program's inputs and outputs with each iteration to ...
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