Scene simulation in autonomous driving has gained significant attention because of its huge
potential for generating customized data. However existing editable scene simulation …

Abstract 3D city generation is a desirable yet challenging task since humans are more
sensitive to structural distortions in urban environments. Additionally generating 3D cities is …

Toward infinite-scale 3D city synthesis, we propose a novel framework, InfiniCity, which
constructs and renders an unconstrainedly large and 3D-grounded environment from …

We present UrbanScene3D, a large-scale data platform for research of urban scene
perception and reconstruction. UrbanScene3D contains over 128k high-resolution images …

Building smart cities requires three-dimensional (3D) modelling to facilitate the planning and
management of built environments. This requirement leads to high demand for data on …

Directly generating scenes from satellite imagery offers exciting possibilities for integration
into applications like games and map services. However challenges arise from significant …

Digitizing existing structures is essential for applying digital methods in architecture,
engineering, and construction. However, the adoption of data‐driven techniques for …

We present a technique for estimating the relative 3D rotation of an RGB image pair in an
extreme setting, where the images have little or no overlap. We observe that, even when …

We present a one-stage Fully Convolutional Line Parsing network (F-Clip) that detects line
segments from images. The proposed network is very simple and flexible with variations that …

Generative design in architecture has long been studied, yet most algorithms are parameter-
based and require explicit rules, and the design solutions are heavily experience-based. In …