AI Sampling Singapore Arsitektur Perumahan by Immanuel Koh

AI Sampling Singapore Arsitektur Perumahan by Immanuel Koh is a highly esteemed winner of the very prestigious 2025 A' Design Award Besi in Desain Generatif, Algoritmik, Parametrik dan Berbantuan AI Competition Category.

BesiGeneratif· 2025

AI Sampling Singapore Arsitektur Perumahan

by Immanuel Koh

Client: Immanuel Koh

A' Design Award Besi Winner in Generatif Category

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Verified Award Winner

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Colors

The Design

About AI Sampling Singapore Arsitektur Perumahan

Singapura adalah kota buatan. Dilatih dengan dataset besar berupa model digital 3D bangunan bertingkat tinggi yang ditemukan di Singapura, model AI yang dirancang khusus ini tidak hanya menghasilkan konfigurasi yang masuk akal secara formal dan koheren secara semantik, tetapi juga mulai membayangkan bentuk-bentuk arsitektur yang baru dan ganjil, menginterpolasi dan mengekstrapolasi di antara tipologi perumahan bertingkat tinggi standar seperti blok lempeng (slab), blok titik (point), dan blok gugus (cluster).

The Recognition

About the A' Design Award Besi

AI Sampling Singapore Arsitektur Perumahan adalah pemenang A' Design Award Besi, pengakuan yang bergengsi yang diberikan kepada desain yang baik yang memenuhi persyaratan profesional dan industri yang diharapkan dari kreasi yang dirancang dengan baik. Pemenang Besi menunjukkan keterampilan yang besar, spesialisasi yang tinggi, pemahaman ahli, dan kapasitas kreatif para penciptanya. AI Sampling Singapore Arsitektur Perumahan diharapkan menjadi kreasi yang sangat dihargai, dikagumi, dan dicintai yang praktis dan inovatif. Desain pemenang A' Design Award Besi ini mengintegrasikan praktik terbaik industri dan memiliki karakteristik teknis yang kompeten yang terkait dengan pengetahuan teknis dan bakat. AI Sampling Singapore Arsitektur Perumahan dihormati karena ketelitiannya dan dirancang untuk memberikan peningkatan kualitas hidup yang membantu menjadikan dunia tempat yang lebih baik.

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