Recent interest in design through the artificial intelligence (AI) lens is rapidly increasing.
Designers, as a special user group interacting with AI, have received more attention in the …

Nowadays, debates addressing climate change, fossil fuels depletion and energy security
highlight the need for a more sustainable built environment in order to reduce energy …

Controllable layout generation aims at synthesizing plausible arrangement of element
bounding boxes with optional constraints, such as type or position of a specific element. In …

Humans universally dislike the task of cleaning up a messy room. If machines were to help
us with this task, they must understand human criteria for regular arrangements, such as …

The ability to synthesize realistic and diverse indoor furniture layouts automatically or based
on partial input, unlocks many applications, from better interactive 3D tools to data synthesis …

Scene understanding is a prerequisite to many high level tasks for any automated intelligent
machine operating in real world environments. Recent attempts with supervised learning …

We present a convolutional neural network based approach for indoor scene synthesis. By
representing 3D scenes with a semantically-enriched image-based representation based on …

We propose a novel data-driven technique for automatically and efficiently generating floor
plans for residential buildings with given boundaries. Central to this method is a two-stage …

We address the task of indoor scene generation by generating a sequence of objects, along
with their locations and orientations conditioned on a room layout. Large-scale indoor scene …

Layout is important for graphic design and scene generation. We propose a novel
Generative Adversarial Network, called LayoutGAN, that synthesizes layouts by modeling …