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MB-Lab (previously ManuelbastioniLAB) is a free and open-source plug-in for Blender for the parametric 3D modeling of photorealistic humanoid characters. [ 1 ] It was developed by the artist and programmer Manuel Bastioni, [ a ] and was based on his over 15 year experience of 3D graphic projects.
This page provides a list of 3D rendering software, the dedicated engines used for rendering computer-generated imagery.This is not the same as 3D modeling software, which involves the creation of 3D models, for which the software listed below can produce realistically rendered visualisations.
Blender is available for Windows 8.1 and above, and Mac OS X 10.13 and above. [243] [244] Blender 2.76b was the last supported release for Windows XP and version 2.63 was the last supported release for PowerPC. Blender 2.83 LTS and 2.92 were the last supported versions for Windows 7. [245]
Blender: 2024-08-20 v 4.2.1 [1] [2] ... Modeling, Computer Aided Design, scripting with grasshopper, many Plug in for Simulation, CAM, BIM, Rendering, and more ...
CATS (Computer Aided Transcription System) is an EDA software for mask data preparation (MDP) in integrated circuit design and manufacturing.. CATS receives tape out data output from the integrated circuit physical design step, most commonly in GDSII format, processes it, and converts into data that control the fabrication of photomasks used to manufacture the designed IC. [1]
The ancestor of MakeHuman was MakeHead, a python script for Blender, written by Manuel Bastioni, artist and coder, in 1999.A year later, a team of developers had formed, and they released the first version of MakeHuman for Blender.
MikuMikuDance (commonly abbreviated to MMD) is a freeware animation program that lets users animate and create computer-animated films, originally produced for the Japanese Vocaloid voice synthesizer software voicebank Hatsune Miku, the first member of the Character Vocal series created by Crypton Future Media.
AnimatLab empowers users to craft models with diverse levels of intricacy, facilitated by a range of available model types. Neurons can be instantiated as simple firing rate models, integrate-and-fire models, or Hodgkin–Huxley models, with the flexibility to incorporate plugins for additional neuron models.