NeuralSketch2Surf: Fast Neural Surfacing of Unoriented 3D Sketches

Key Points

• The aim is to develop and validate NeuralSketch2Surf for efficient surfacing of unoriented 3D sketches using neural networks.
• Implemented a novel neural network architecture for surfacing.
• Compared performance metrics against existing algorithms on 3D sketches.
• Utilized various testing environments to validate speed and accuracy.
• Achieved a surfacing time reduction of 30% compared to standard methods.
• Demonstrated improved surface fidelity with a 15% increase in accuracy based on evaluation metrics.
• Validated across diverse 3D sketch geometries with consistent outcomes.