Neural Design Phase: Bridging Schematic and Development Phases

Our Motivation:

"The research was motivated by the need to better serve designers and owners at the early stages of the design process. In addition, we were inspired by recent advancements in deep generative models and generative design. The goal is to let designers and owners generate a BIM by simply sketching and describing their buildings.

Imagine for a second a method capable of retrieving similar buildings or sites worldwide and generating new sustainable buildings assimilating various lessons learned.

Research Contribution

The research aims to answer questions such as:

“How can a BIM be generated conditioned also on a single perspective sketch?”.

It will explore deep generative models, neural fields and their applications in design for the AEC. 

Problem

Practical Problem

The high latency between the schematic and development phases causes a delayed validation of the initial design ideas, making it difficult and costly to reset the initial design directions.

Conceptual Problem

The high latency between is caused also by the lack of a real-time generation of BIM outcome from simple inputs like sketch, text, image or mock-ups.

Solution

The solution consists in a method that combines schematic and development phases into a unique one:

A Neural Design Phase. From a text, speech, sketch, image, or mock-ups, our AI generates a building information model visible in immersive mediums.

Added Value For The Industry

It will facilitate the industry partners to generate BIM from initial design ideas reducing the latency between schematic and development phases. 

Cooperation Partner

 Timeline

If you want to participate in the project please reach out to Alberto Tono.