SENS: Part-Aware Sketch-based Implicit Neural Shape Modeling

arXiv:2306.06088v2 Announce Type: replace-cross
Abstract: We present SENS, a novel method for generating and editing 3D models from hand-drawn sketches, including those of abstract nature. Our method allows users to quickly and easily sketch a shape, and then maps the sketch into the latent space of a part-aware neural implicit shape architecture. SENS analyzes the sketch and encodes its parts into ViT patch encoding, subsequently feeding them into a transformer decoder that converts them to shape embeddings suitable for editing …

3d models abstract architecture arxiv cs.cv cs.gr cs.lg editing maps modeling nature novel part space type