14 citations · 14 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 14 cited
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…
cs.CV2022
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…