Automated shape repair approaches currently lack access to datasets that describe real-
world damaged geometry. We present Fantastic Breaks (and Where to Find Them …

The realm of 3D computer vision and graphics has experienced exponential growth recently,
enabling the creation of realistic virtual environments and digital representations of real …

Alzheimer's Disease (AD) causes slow death in brain cells due to shrinkage of brain cells
which is more prevalent in older people. In most cases, the symptoms of AD are mistaken as …

We propose a deep learning approach for inpainting holes in digital models of fabric
surfaces. Leveraging the developable nature of fabric surfaces, we flatten the area …

We introduce a dual contouring method that provides state-of-the-art performance for
occupancy functions while achieving computation times of a few seconds. Our method is …

This paper proposes the RePAIR dataset that represents a challenging benchmark to test
modern computational and data driven methods for puzzle-solving and reassembly tasks …

This work addresses the problem of\textit {shape completion}, ie, the task of restoring
incomplete shapes by predicting their missing parts. While previous works have often …

This article explores the use of recent generative AI algorithms for repairing cultural heritage
objects, leveraging a conditional diffusion model designed to reconstruct 3D point clouds …

We present Pix2Repair, an automated shape repair approach that generates restoration
shapes from images to repair fractured objects. Prior repair approaches require a high …

We provide implementation details for the shape repair approaches MendNet [4],
DeepMend [3], and Deep-Join [2]. We train each shape repair approach for 2,000 epochs …