Three-dimensional (3-D) urban models are an integral part of numerous applications, such
as urban planning and performance simulation, map** and visualization, emergency …

The area of surface reconstruction has seen substantial progress in the past two decades.
The traditional problem addressed by surface reconstruction is to recover the digital …

Abstract Neural Radiance Fields (NeRFs) have demonstrated amazing ability to synthesize
images of 3D scenes from novel views. However, they rely upon specialized volumetric …

This work considers gradient-based mesh optimization, where we iteratively optimize for a
3D surface mesh by representing it as the isosurface of a scalar field, an increasingly …

We introduce neural dual contouring (NDC), a new data-driven approach to mesh
reconstruction based on dual contouring (DC). Like traditional DC, it produces exactly one …

This paper presents a new method to fabricate 3D models on a robotic printing system
equipped with multi-axis motion. Materials are accumulated inside the volume along curved …

With the introduction of Neural Radiance Fields (NeRFs), novel view synthesis has recently
made a big leap forward. At the core, NeRF proposes that each 3D point can emit radiance …

We have developed a novel hierarchical data structure for the efficient representation of
sparse, time-varying volumetric data discretized on a 3D grid. Our “VDB”, so named because …

Abstract Unsigned Distance Fields (UDFs) can be used to represent non-watertight surfaces.
However, current approaches to converting them into explicit meshes tend to either be …

We present an adaptive deep representation of volumetric fields of 3D shapes and an
efficient approach to learn this deep representation for high-quality 3D shape reconstruction …