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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
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.
A scenery generator is software used to create landscape images, 3D models, and animations. These programs often use procedural generation to generate the landscapes. If not using procedural generation to create the landscapes, then normally a 3D artist would render and create the landscapes. These programs are often used in video games or movies.
The 3D model can be physically created using 3D printing devices that form 2D layers of the model with three-dimensional material, one layer at a time. Without a 3D model, a 3D print is not possible. 3D modeling software is a class of 3D computer graphics software used to produce 3D models. Individual programs of this class are called modeling ...
Blender is a free and open-source 3D computer graphics software tool set that runs on Windows, macOS, BSD, Haiku, IRIX and Linux. It is used for creating animated films, visual effects, art, 3D-printed models, motion graphics, interactive 3D applications, and virtual reality. It is also used in creating video games.
Different models can be generated by changing both deterministic parameters and a random seed. In computing , procedural generation is a method of creating data algorithmically as opposed to manually, typically through a combination of human-generated content and algorithms coupled with computer-generated randomness and processing power.
A 3D selfie in 1:20 scale printed by Shapeways using gypsum-based printing, created by Madurodam miniature park from 2D pictures taken at its Fantasitron photo booth 3D models are generated from 2D pictures taken at the Fantasitron 3D photo booth at Madurodam. Generating and reconstructing 3D shapes from single or multi-view depth maps or ...
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.