Fè Jeneratif · 2025
AI Sampling Singapore Fonksyon Prensipal: Achitekti Lojman
by Immanuel Koh
- A' Design Award Fè 2025 in Jeneratif
- CLIENT: Immanuel Koh
- Estimated Number of Design Views: 60,008
- Verification code C83C4A52C0 · Verify this award
Colors
About AI Sampling Singapore Fonksyon Prensipal: Achitekti Lojman
Tèks Liv: Singapour se yon vil atifisyèl. Antrene ak yon gwo seri done modèl dijital 3D batiman wo yo jwenn nan Singapour, modèl AI ki fèt sou mezi a pa sèlman pwodui konfigirasyon ki fòmèlman posib ak semantikman koheran, men li kòmanse tou imajine fòm achitekti nouvo ak etranj, ki entèpole ak ekstrapole ant tipoloji estanda lojman wo yo tankou blòk dal, pwen, ak gwoup yo.
About the A' Design Award Fè
AI Sampling Singapore Fonksyon Prensipal: Achitekti Lojman se yon ganyan A' Design Award Fè, yon rekonesans ki gen prestij yo bay bon design ki satisfè egzijans pwofesyonèl ak endistriyèl yo atann de kreyasyon ki byen fèt. Ganyan Fè yo montre gwo konpetans, espesyalizasyon wo, konpreyansyon ekspè ak kapasite kreyatif kreyatè yo. Yo atann AI Sampling Singapore Fonksyon Prensipal: Achitekti Lojman pou se yon kreyasyon anpil moun estime, admire e renmen ki pratik e inovatè. Design sa a ki ganyen A' Design Award Fè entegre pi bon pratik sektè a e li gen karakteristik teknik konpetan ki lye ak konnesans pratik ak talan. Yo respekte AI Sampling Singapore Fonksyon Prensipal: Achitekti Lojman pou jèntan li e li fèt pou bay amelyorasyon kalite lavi ki ede fè mond lan vin yon pi bon kote.
Press Kit
- 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.
- Image Credits
- All credits: Artificial-Architecture
