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20162025
most citedDeepJoin: Learning a Joint Occupancy, Signed Distance, and Normal Field Function for Shape Repair

14 citations · 29 across the 11 of their papers we have counts for

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Showing 2022Show all

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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…