Qinchuan Lei

Reconstructing a 3D mesh from a single freehand sketch usually compresses sketch features into one global vector, which loses fine strokes and thin structures. Locality-Preserving Sketch Token Fusion instead keeps both a global shape representation and spatially arranged local tokens, and lets the global representation query those tokens through cross-attention during decoding. On ShapeNet-Synthetic with ground-truth viewpoints, average IoU rises from 0.616 for SS2M to 0.628; on the human-drawn ShapeNet-Sketch, average IoU is 0.498 and 0.487 under ground-truth and predicted viewpoints respectively.

Reconstructing a 3D mesh from a single freehand sketch usually compresses sketch features into one global vector, which loses fine strokes and thin structures. Locality-Preserving Sketch Token Fusion instead keeps both a global shape representation and spatially arranged local tokens, and lets the global representation query those tokens through cross-attention during decoding. On ShapeNet-Synthetic with ground-truth viewpoints, average IoU rises from 0.616 for SS2M to 0.628; on the human-drawn ShapeNet-Sketch, average IoU is 0.498 and 0.487 under ground-truth and predicted viewpoints respectively.