Deep Generative Modeling for Scene Synthesis via Hybrid Representations

A recent post demonstrated a data-driven system for indoor scene synthesis. This work is motivated by similar but is noteworthy not only for its results – which allows for repeated inclusion of a given type of object and interpolation of entire scenes – but also the rigorous analysis of their approach which is bound to…Read More

GRAINS: Generative Recursive Autoencoders for INdoor Scenes

Rule-based systems for procedural generation of complex environments such as interiors, cities, and landscapes have been around for a while. Here is a novel data-driven approach to not only learn how objects interact with each other in order to be able to produce new arrangements but also perform conversion of 2D floor plans to 3D…Read More