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SENS: Part-Aware Sketch-based Implicit Neural Shape Modeling
Feb. 22, 2024, 5:43 a.m. | Alexandre Binninger, Amir Hertz, Olga Sorkine-Hornung, Daniel Cohen-Or, Raja Giryes
cs.LG updates on arXiv.org arxiv.org
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
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