Nikolas Lamb
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Automating the Repair of Broken Objects
Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts
Pix2Repair: Implicit Shape Restoration from Images
Reinforcement-Learning Based Robotic Assembly of Fractured Objects Using Visual and Tactile Information
Studying How Object Handoff Orientations Relate to Subject Preferences on Handover
DeepJoin: Learning a Joint Occupancy, Signed Distance, and Normal Field Function for Shape Repair
DeepMend: Learning Occupancy Functions to Represent Shape for Repair
MendNet: Restoration of Fractured Shapes Using Learned Occupancy Functions
Using Learned Visual and Geometric Features to Retrieve Complete 3D Proxies for Broken Objects
Automated Reconstruction of Smoothly Joining 3D Printed Restorations to Fix Broken Objects
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