Text-guided image generation has progressed rapidly in recent years, inspiring major
breakthroughs in text-guided shape generation. Recently, it has been shown that using …

Implicit neural fields, typically encoded by a multilayer perceptron (MLP) that maps from
coordinates (eg, xyz) to signals (eg, signed distances), have shown remarkable promise as …

Abstract We introduce Pixel-aligned Implicit Function (PIFu), an implicit representation that
locally aligns pixels of 2D images with the global context of their corresponding 3D object …

Automated building processes that enable efficient in situ resource utilization can facilitate
construction in remote locations while simultaneously offering a carbon-reducing alternative …

Estimating normals with globally consistent orientations for a raw point cloud has many
downstream geometry processing applications. Despite tremendous efforts in the past …

We propose a new tetrahedral meshing method, fTetWild, to convert triangle soups into high-
quality tetrahedral meshes. Our method builds on the TetWild algorithm, replacing the …

Recent works on text-to-3d generation show that using only 2D diffusion supervision for 3D
generation tends to produce results with inconsistent appearances (eg faces on the back …

Neural implicit fields are quickly emerging as an attractive representation for learning based
techniques. However, adopting them for 3D shape modeling and editing is challenging. We …

Surgical planning software is a key component in the treatment of tumor diseases. However,
desktop-based systems provide only limited visualization and interaction opportunities …

Abstract We introduce Breaking Bad, a large-scale dataset of fractured objects. Our dataset
consists of over one million fractured objects simulated from ten thousand base models. The …