14 citations · 14 across the 4 of their papers we have counts for
4 papers
Pix2Repair: Implicit Shape Restoration from Images
Xinchao Song, Nikolas Lamb, Sean Banerjee +1
We present Pix2Repair, an automated shape repair approach that generates restoration shapes from images to repair fractured objects. Prior repair approaches require a high-resoluti…
Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts
Nikolas Lamb, Cameron Palmer, Benjamin Molloy +2
Automated shape repair approaches currently lack access to datasets that describe real-world damaged geometry. We present Fantastic Breaks (and Where to Find Them: https://terascal…
DeepJoin: Learning a Joint Occupancy, Signed Distance, and Normal Field Function for Shape Repair
Nikolas Lamb, Sean Banerjee, Natasha Kholgade Banerjee
We introduce DeepJoin, an automated approach to generate high-resolution repairs for fractured shapes using deep neural networks. Existing approaches to perform automated shape rep…
DeepMend: Learning Occupancy Functions to Represent Shape for Repair
Nikolas Lamb, Sean Banerjee, Natasha Kholgade Banerjee
We present DeepMend, a novel approach to reconstruct restorations to fractured shapes using learned occupancy functions. Existing shape repair approaches predict low-resolution vox…