Kinetic Cartography
Motion Graphics / 2022
‘Procedural Landscape using Machine Learning’
Instructor: Tucker Van-Leuwen Hall
Softwares: Runway ML Taxonomy, Cinema 4D, Octane Render, Media Encoder
UCLA Summer Module
Creating a procedural landscape using machine learning, latent interpolation datasets were compiled by generating datasets of four different terrains. These were then compiled to create a latent landscape that is an amalgamation of four existing landscapes. The final outcome is an animation created through the use of landscape change, vegetation and height maps in Runway ML.
Four Datasets.
Compilation of all four datasets.
Plans
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Axonometrics
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