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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.
Grasshopper is primarily used to build generative algorithms, such as for generative art. [3] [4] Many of Grasshopper's components create 3D geometry. [5] Programs may also contain other types of algorithms including numeric, textual, [6] audio-visual [7] and haptic applications. [8]
Library for creating visual generative art, and mathematical diagrams, as images and video. Cross-platform: Python: MIT License: Max MSP: Visual programming language for music and multimedia. Windows, Mac OS: Visual programming language: Proprietary: Nannou: Library that aims to make it easy for artists to express themselves with simple, fast ...
"Generative art" often refers to algorithmic art (algorithmically determined computer generated artwork) and synthetic media (general term for any algorithmically generated media), but artists can also make generative art using systems of chemistry, biology, mechanics and robotics, smart materials, manual randomization, mathematics, data ...
Deep learning, characterized by its multi-layer structure that attempts to mimic the human brain, first came about in the 2010s and causing a significant shift in the world of AI art. [31] During the deep learning era, there are mainly these types of designs for generative art: autoregressive models, diffusion models, GANs, normalizing flows.
However, in general, the term computer animation refers to dynamic images that do not allow user interaction, and the term virtual world is used for the interactive animated environments. Computer animation is essentially a digital successor to the art of stop motion animation of 3D models and frame-by-frame animation of 2D illustrations.
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 ...
2D/3D toon Animation, Lighting, Modeling, Node based Material Creation / Texturing / 3D Texture Painting/ UV Mapping, Rendering (Internal, External, 3D Anaglyph and VR), 3D Rigging and Animation, Sculpting, Visual 3D Effects, Basic Post-Production Video Editing, Motion Tracking, Python Scripting, Fluid Simulation, Particles, Physics, Compositing