nonstandardstudio - deep learning, creative ai, generative algorithms, genetic algorithms, parametric design, advanced computational design, architecture

3D Domain Translations

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3D Domain Translation using Cycle-Consistent Adversarial Networks

Some of the algorithms I started developing while at I.sd Institute of Structure and Design, Innsbruck.

The 3D Domain Translation model starts to show some promising results. Although still more work is needed to be done to allow for a better disentanglement of features.

This approach builds on the work of Jun-Yan Zhu, Taesung Park, Philip Isola, Alexei A. Efros from Berkeley Ai Research (Bair) Laboratory, UC Berkeley

More detailed description soon…

 

DATE Mar 2020 CATEGORY Project's TAGS #deeplearning, creativeAi, generativeAdversarialNetworks, nonstandardstudio
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nonstandardstudio - deep learning, creative ai, generative algorithms, genetic algorithms, parametric design, advanced computational design, architectureDEEP LEARNING Research augmented creativity design space explorer 3d domain translations Computer vision generative adversarial networks neural networks MACHINE LEARNING dimensionality reduction ADVANCED Computational Design genetic algorithms generative algorithms AGENT BASED SYSTEMS multi-agent systems structural encoded agents
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nonstandardstudio - deep learning, creative ai, generative algorithms, genetic algorithms, parametric design, advanced computational design, architecture
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