Shape completion is the problem of completing partial input shapes such as partial scans.
This problem finds important applications in computer vision and robotics due to issues such …

During and after a course of therapy, imaging is routinely used to monitor the disease
progression and assess the treatment responses. Despite of its significance, reliably …

This paper aims at unpaired shape-to-shape transformation for 3D point clouds, for instance,
turning a chair to its table counterpart. Recent work for 3D shape transfer or deformation …

Unpaired shape translation is an emerging task for intelligent shape modelling and editing.
Recent methods for 3D shape transfer use single-or multi-scale latent codes but a single …

We propose USTNet, a novel deep learning approach designed for learning shape‐to‐
shape translation from unpaired domains in an unsupervised manner. The core of our …

Congenital heart diseases (CHDs) encompass a wide range of cardiovascular structural
abnormalities, and CHD patients exhibit complex and unique malformations. Analysis of …

This paper proposes a novel method for neural implicit 3D shape synthesis using a two-
stage training strategy with an implicit autoencoder and a multi-scale denoising diffusion …

Unpaired shape-to-shape translation remains a largely unexplored area, particularly in three-
dimensional contexts. This paper explores its potential in dentistry, focusing on the …