Presentation
DeepMill: Neural Accessibility Learning for Subtractive Manufacturing
SessionGeometry in Action
DescriptionThe proposed neural network, DeepMill, can efficiently predict inaccessible and occlusion regions in subtractive manufacturing. By utilizing a cutter-aware dual-head octree-based convolutional architecture, it overcomes the computational inefficiency of traditional geometric methods and is capable of real-time prediction of inaccessible and occlusion regions during the 3D shape design phase.
Event Type
Technical Paper
TimeThursday, 14 August 20252:40pm - 2:50pm PDT
LocationWest Building, Rooms 220-222
ACM Digital Library
Journal Papers' PDFs
Conference Papers' PDFs
Conference Papers' PDFs
Session Time & Location
Sunday, 10 August 20256:00pm - 8:45pm PDTWest Building, Ballroom AB
Thursday, 14 August 20252:00pm - 3:30pm PDTWest Building, Rooms 220-222
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