In the last decades, 3D city models appear to have been predominantly used for
visualisation; however, today they are being increasingly employed in a number of domains …

The importance of landscape and heritage recording and documentation with optical remote
sensing sensors is well recognized at international level. The continuous development of …

Generating realistic 3D worlds occupied by moving humans has many applications in
games, architecture, and synthetic data creation. But generating such scenes is expensive …

The ability to generate novel, diverse, and realistic 3D shapes along with associated part
semantics and structure is central to many applications requiring high-quality 3D assets or …

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 …

This paper proposes a novel graph-constrained generative adversarial network, whose
generator and discriminator are built upon relational architecture. The main idea is to …

This paper proposes a generative adversarial layout refinement network for automated
floorplan generation. Our architecture is an integration of a graph-constrained relational …

We present RoboGrammar, a fully automated approach for generating optimized robot
structures to traverse given terrains. In this framework, we represent each robot design as a …

We introduce a novel neural network architecture for encoding and synthesis of 3D shapes,
particularly their structures. Our key insight is that 3D shapes are effectively characterized by …

The paper presents a novel approach for vector-floorplan generation via a diffusion model,
which denoises 2D coordinates of room/door corners with two inference objectives: 1) a …