AI Sampling Singapore Tembiapo Ñepyrũ: Óga Apoha Arkitektúra by Immanuel Koh

AI Sampling Singapore Tembiapo Ñepyrũ: Óga Apoha Arkitektúra by Immanuel Koh is a highly esteemed winner of the very prestigious 2025 A' Design Award Fiero in Ojejapo Ijeheguíva Jejapo Competition Category.

FieroOjejapo Ijeheguíva· 2025

AI Sampling Singapore Tembiapo Ñepyrũ: Óga Apoha Arkitektúra

by Immanuel Koh

Client: Immanuel Koh

A' Design Award Fiero Winner in Ojejapo Ijeheguíva Category

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The Design

About AI Sampling Singapore Tembiapo Ñepyrũ: Óga Apoha Arkitektúra

Singapur ha'e peteĩ táva ojejapóva. Oñembokatupyryvo peteĩ datos heta etáva ndive 3D modelo digital-kuéra óga yvate guasúva oĩva Singapur-pe, AI modelo ojejapo va'ekue ndoguenohẽiri añoite forma ojeguerovia kuaáva ha semántica jokupytýva, ha avei oñepyrũ oimo'ã arkitektúra forma pyahu ha umi mba'e techa'ỹva, omoĩ ha omombyrýva umi típo estándar óga yvate guasu apytépe, tahaicha slab, point ha cluster bloke-kuéra.

The Recognition

About the A' Design Award Fiero

AI Sampling Singapore Tembiapo Ñepyrũ: Óga Apoha Arkitektúra ohupyty A' Design Award Fiero, peteĩ ñehechakuaa prestigioso oñeme'ẽva diseño iporã-pe ohupytýva requisito profesional ha industrial oñeha'ãrõva creación iporã oñemoĩva-gui. Umi ganador Fiero ohechauka habilidad guasu, especialización yvate, comprensión experta ha capacidad creativa umi creador rehegua. Oñeha'ãrõ AI Sampling Singapore Tembiapo Ñepyrũ: Óga Apoha Arkitektúra ha'eha creación ojehayhúva, admirada ha estimada, práctica ha innovadora. Ko diseño ohupytýva A' Design Award Fiero ombojoaju mejor práctica industria rehegua ha oguereko característica técnica competente ojoajúva conocimiento ha talento ndive. AI Sampling Singapore Tembiapo Ñepyrũ: Óga Apoha Arkitektúra oñerespeta hembiapo cuidadoso rupi ha oñemoĩ ome'ẽ hag̃ua mejora calidad de vida rehegua oipytyvõva yvy ape iporãve hag̃ua.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: Is it possible to sample at scale and at high-resolution every single building ever built in a country? If so, can such a dataset be used to train an AI model in generating new yet locally compliant buildings without any explicit regulatory control inputs? The project explores the design agency of deep generative neural networks in learning three-dimensional exteriority and interiority with a redesigned 3D generative adversarial network (3D-GAN) AI model. Winner of WAFX2024, IDA2024 and BLT2024.
Dimensions & Packaging: This is a digital AI x Architecture project. Each generated output is a new high-rise high-density residential public housing of up to 30 floors.
Tags: AI
Production Technology: A custom generative AI model was trained from scratch using proprietary code base and dataset. Specifically, a 3D generative adversarial network (3D-GAN) AI model was trained to learn semantic and spatial configuration of high-rise high-density residential public housing in Singapore.
Design Challenge: The non-existence of 3D models and their corresponding floor plans was the first challenge. New workflow and tools had to be developed to not only collect (i.e., digitally and physically), but create (annotate) and curate (i.e., exploratory data analysis) such high quality dataset to train an AI model from scratch. Technically difficult due to the scalability of similar CAD representation which was overcome via a novel AI latent representation of 3D.
Research: A custom generative AI model was trained from scratch using proprietary code base and dataset. Specifically, a 3D generative adversarial network (3D-GAN) AI model was trained to learn semantic and spatial configuration of high-rise high-density residential public housing in Singapore.
Inspiration: Singapore is an artificial city! Trained with a large dataset of 3D digital models of high-rise buildings found in Singapore, the custom-designed AI model generates not only formally plausible and semantically coherent configurations, but begins to also imagine novel and uncanny architectural forms, interpolating and extrapolating among standard high-rise housing typologies such as the slab, point, and cluster blocks. Project exhibited at Venice Architecture Biennale and Singapore's Arts House.
Project Duration: This is an on-going and longer-term AI x Architecture research being conducted at the university design lab since 2021. It was however only published much later as an official architectural design award entry from 2024 onwards.
Operation Flow: This is a digital AI x Architecture generative research project, while the dataset was digitally collected from existing physical buildings in Singapore.
Patents: Currently no patent.
Team Members: Artificial-Architecture
Image Credits: All credits: Artificial-Architecture