Abstract
Providing an online interface for people to generate their own custom furniture. After picking the type of furniture needed, the Neural Network would direct the user towards a solution using uploaded images of what the user likes (photographs, painting, sculptures…). The website would then allow the user to export building plans for his chosen design, or have the furniture made by a professional. The “design spaces” (parametric models) are made by different designers that can upload their work.
AI-human cooperative design
Using AI for design customization?
Frequently in the creative process when starting a new project, the first step is to talk with the client to understand the needs and possible variants in which the project can be developed.
This process can become quite tedious if the ideas are opposed or not related correctly; To make this process more efficient, we decided to develop a tool that allows the designer to visualize different configurations of his client’s ideas through his own visual references combined with an algorithm that combines the input and gets analyzed by a neural network.
- Human input
- Evaluation
To carry out this project, we decided to develop a questionnaire to collect the consideration of characteristics given by different people of the relationship between selected images and designs of different chairs.
Rietveld chair
Inspiration
Parametric chair model first iteration
Parametric chair: final model
Surveys
Image/Design Traits
Scoring system
This is the method that we used to score the different attributes given by the person
Images
Design
Image/Design
Survey: results
Images
Images with clearest distinction
Designs
Designs with clearest distinction
Creating the Activation Network
Basic setup
Training tests
This are the different configurations we used to train the Neural Network
Constant layers
Constant parameters
Networked used for results
Visual comparison
Networked used for results
Network inputs
Different ways of using the network
NN designs
Manipulating the traits
Using one image
Using multiple images
Human UI
Using the plug-in for grasshopper Human (by andheum) we developed an interface so the user can have the instant changes in the configuration of the chair, regarding the input given
Autoencoder
Dimension reduction
Platform
Concept
Home
Finally an exploration of how this project could look like taken in to the market
Select Furniture Typology
Input images
Export building plans
References:
Survey Images:
Muralla Roja by Ricardo Bofill, 50 Manga chairs by Nendo, Interior of the Pantheon by Giovanni Paolo Panini, Grey Abstract Sculpture by unknown, Route de l’estaque by Georges Braque, Black square by Kazimir Malevich, Number 32 by Jackson Pollock, Psychedelic art by unknown, David by Michelangelo, Drawing by Ana Kras, Sculpture 21c by Karl Andreas Groß, Untitled by Fujikasa Satoko, Etude pour mercure by pablo picasso, Soviet bus stop, Mechanical Elements by Fernand Léger, Minimal art by unknown, Photo by Nicholas Alan Cope, Nude descending a staircase by Marcel Duchamp, Salón de Gasparini hall in the Royal Palace of Madrid, Neurons by Santiago Ramon y Cajal, Detail of Fresco painting in St. Charles’s church in Vienna, Ceiling detail by Antoni Gaudi, Labyrismen by Constant Nieuwenhuys, Mobiles by Alexander Calder, Mask 5, Series 1 by Neri Oxman
Useful links:
Faculty:
Mateusz Zwierzycki
Soroush Garivani
Students:
Lorenzo Masini
Cedric Droogmans
Elena Jaramazovic
Luis Jayme Buerba