SketchINR: A First Look into Sketches as Implicit Neural Representations

arXiv:2403.09344v1 Announce Type: new
Abstract: We propose SketchINR, to advance the representation of vector sketches with implicit neural models. A variable length vector sketch is compressed into a latent space of fixed dimension that implicitly encodes the underlying shape as a function of time and strokes. The learned function predicts the $xy$ point coordinates in a sketch at each time and stroke. Despite its simplicity, SketchINR outperforms existing representations at multiple tasks: (i) Encoding an entire sketch dataset into a …

abstract advance arxiv cs.ai cs.cv function implicit neural representations look representation sketches space type vector