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# Artificial Intelligence

PLEINAR _ a 3d model to watercolour INTERFACE

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MaCAD 2024-2025

Imagine transforming any 3D model into an expressive, hand-rendered-style watercolor sketch, a visualization that breathes life into architectural concepts. Pleinar: the interface that transforms 3D models into captivating, multiview, generative watercolor sketches, inspired by the brilliant artistry of Liz Steel. __________________________________________________________________________________________________________________________________________________________________________ __________________________________________________________________________________________________________________________________________________________________________ The LoRA – training DATASET We trained this LoRA on the work of … Read more

ARchitect

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MaCAD 2024-2025

Sketches in Space with AI and LoRA What if architects could doodle inside their designs—live, in 360°? ARchitect is a mixed-reality interface I developed for stylizing architectural spaces using expressive, cartoon-like overlays. Powered by LoRA fine-tuning and a custom-trained Flux, ARchitect reimagines how we interact with our built environment—by making architectural visualization playful, intuitive, and … Read more

Beyond The Frame

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MaCAD 2024-2025

Visual Storytelling using SDXL _LoRA_Gradio Exploring Dali and Bosch-inspired storytelling with SDXL + Gradio Our project is a tool that helps architects turn stories into surreal image sequences. We explored styles inspired by Dali and Bosch to create dreamlike visuals. Although we trained a custom model, we used prompt-based image generation in the final version. … Read more

Pavilion 3D & 2D Generator

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MaCAD 2024-2025

Problem statement Pavilion design is deceptively demanding. Even though these structures are small, the creative expectations are incredibly high. In most competitions or studio settings, we’re expected to deliver rich, meaningful concepts – drawing on cultural references, environmental context, and symbolic language – all within just a few days or even hours. At the same … Read more

Panton vs Lumon: An Aesthetic Showdown in Pixels

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MaCAD 2024-2025

Welcome to Panton vs Lumon, the app we built during the GenAI course to explore what happens when you pit two aesthetic extremes against each other, then hand over control to the user. Think Verner Panton meets Severance’s Lumon Industries. This isn’t just style transfer – it’s a design identity crisis turned into a creative … Read more

The Storyteller: Revolutionizing Architectural Communication

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MaCAD 2024-2025

How two architects transformed the way we present architectural projects by creating an AI-powered storytelling interface that turns technical drawings into compelling visual narratives. The Genesis: Beyond Plans and Sections Traditional architectural presentations often fail to bridge the gap between professional technical documentation and client understanding. James discovered that: So who is this storyteller platform … Read more

Investigating [Grain Farming] – Deforestation, and Political Conflict in the Amazon

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MaCT-01 2024-2025

“The Amazon rainforest, often called the ‘lungs of the Earth,’ is rapidly disappearing. But this isn’t just an environmental crisis—it’s a geopolitical and economic issue. In the heart of this transformation lies [Mato Grosso], Brazil’s largest soy-producing state. Its key location fuels both economic growth and ecological destruction, leading to tensions over land use, trade policies, and environmental governance.” … Read more

Inpaint Materiality

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MaCAD 2024-2025

Intro Designers know the pain: a perfect image—ruined by one wrong material. A distracting object. A missing texture. An awkward composition. You could retouch it manually, but how long will that take? And will it ever really blend? What if you could just circle the problem area and ask for something better? Something that fits … Read more

Faster Architectural Workflows with Generative AI: From Text Prompts to Custom LoRAs

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MaCAD 2024-2025
Morph 2 LoRAs

Why “Faster” Matters A single photorealistic render can quickly be very expensive and take days to produce, locking design changes behind hefty bills and long waits for architects. Generative AI, through models like Stable Diffusion and custom LoRAs, slashes both cost and time, turning sketches into near-final visuals in seconds. By democratizing high-fidelity imagery, it … Read more

From Raw Acoustics to Predictive Insights: Modeling Comfort in Architectural Spaces

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MaCAD 2024-2025

Introduction In this blog, we walk through the complete data science process applied to a unique challenge: predicting the acoustic comfort index of apartment units based on architectural and environmental features. This includes data preprocessing, feature engineering, model training, interpretation, and tuning—with tools like XGBoost, Neural Networks, and SHAP for explainability. The workflow is split … Read more

CarbonAI

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MaCAD 2024-2025

Bridging Carbon estimations in early design stages The built environment accounts for nearly 40% of global carbon emissions, the urgency to integrate sustainability into architectural and engineering processes has never been greater. Yet, decisions made in the earliest stages of building design often lock in the majority of a structure’s lifetime carbon footprint, long before … Read more

SYNTHETIC AI AGENT SURVEY SIMULATION

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MaCT-01 2024-2025

Safety Perception in Jakarta Why Simulate Perception in Urban Spaces? In the realm of smart city design and urban analytics, one of the most nuanced yet underexplored datasets is perceived safety. This perception isn’t easily quantifiable, yet it critically influences how public spaces are used, trusted, or avoided. Traditional surveys are the go-to method for … Read more

UrbanSight – Agent-based Pedestrian Environment Analysis

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MaCT-01 2024-2025

Project Introduction Urban environments are constantly evolving, shaped by the movement of people, the flow of traffic, and the presence of infrastructure. Yet, understanding these patterns at the street level — especially across an entire neighborhood — can be difficult, time-consuming, and highly subjective. In this project, we present a computer vision–based visual audit of … Read more

DreamMyStreet

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MaCT-01 2024-2025

Abstract Building upon the knowledge acquired in the Agent-Based Design & Machine Learning course, we developed a bot designed to collect data from the population of Rundu, the city we are focusing on for our project within the Vulnerability Studio: Computer-Aided Mobility Justice. We face the challenge of accessing qualitative insights that could help us … Read more