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Video generated by Sora with prompt Borneo wildlife on the Kinabatangan River. Generative AI trained on annotated video can generate temporally-coherent, detailed and photorealistic video clips. Examples include Sora by OpenAI, [10] Gen-1 and Gen-2 by Runway, [58] and Make-A-Video by Meta Platforms. [59]
A text-to-video model is a machine learning model that uses a natural language description as input to produce a video relevant to the input text. [20] Advancements during the 2020s in the generation of high-quality, text-conditioned videos have largely been driven by the development of video diffusion models. [21]
Massive is a software package developed by Stephen Regelous for use in the visual effects industry. Its primary feature is its ability to rapidly create large groups of agents that can act as individuals, each with their own unique behaviors and actions.
Typical input Other input Typical output Acceleo: Java Active Tier User-defined EMF based models (UML, Ecore, user defined metamodels) Any EMF based input (Xtext DSLs, GMF graphical models, etc.) Any textual language. actifsource: Java Active Tier User-defined Models Import from UML, Ecore. Any textual language. DMS Software Reengineering Toolkit
A story generator or plot generator is a tool that generates basic narratives or plot ideas. The generator could be in the form of a computer program, a chart with multiple columns, a book composed of panels that flip independently of one another, or a set of several adjacent reels that spin independently of one another, allowing a user to select elements of a narrative plot.
C/C++, C#, D, IDL, Fortran, Java, PHP, Python Any 1997/10/26 1.9.1 GPL Epydoc: Edward Loper Text Python Any 2002/01/— 3.0 (2008) MIT: fpdoc (Free Pascal Documentation Generator) Sebastian Guenther and Free Pascal Core Text (Object)Pascal/Delphi FPC tier 1 targets 2005 3.2.2 GPL reusable parts are GPL with static linking exception Haddock ...
A simple way to generate fractal surfaces is to use an extension of the triangular mesh method, relying on the construction of some special case of a de Rham curve, e.g., midpoint displacement. [11] For instance, the algorithm may start with a large triangle, then recursively zoom in by dividing it into four smaller Sierpinski triangles , then ...
Ninja is a small build system developed by Evan Martin, [4] a Google employee. Ninja has a focus on speed and it differs from other build systems in two major respects: it is designed to have its input files generated by a higher-level build system, and it is designed to run builds as fast as possible.