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Neural Slicer for Multi-axis 3D Printing

DescriptionWe employ neural networks to establish a deformation mapping for curved layer generation that can be optimized through loss functions directly defined on the local printing directions. Our method relies less on the initial values and can generate results with significantly improved performance for models in diverse representations and topology.

Authors

Tao Liu

University of Manchester

Tianyu Zhang

University of Manchester

Yongxue Chen

University of Manchester

Yuming Huang

University of Manchester