Sketch2Model: View-Aware 3D Modeling from Single Free-Hand Sketches
Song-Hai Zhang, Yuan-Chen Guo, Qing-Wen Gu

TL;DR
This paper presents Sketch2Model, a view-aware method for reconstructing 3D meshes from single free-hand sketches, addressing sketch ambiguity by explicitly conditioning on viewpoints to enhance reconstruction accuracy.
Contribution
It introduces a novel view-aware approach that explicitly incorporates viewpoint information, improving 3D reconstruction from sketches compared to prior methods.
Findings
Effective in resolving sketch ambiguities
Improves 3D shape reconstruction quality
Works with both predicted and user-specified viewpoints
Abstract
We investigate the problem of generating 3D meshes from single free-hand sketches, aiming at fast 3D modeling for novice users. It can be regarded as a single-view reconstruction problem, but with unique challenges, brought by the variation and conciseness of sketches. Ambiguities in poorly-drawn sketches could make it hard to determine how the sketched object is posed. In this paper, we address the importance of viewpoint specification for overcoming such ambiguities, and propose a novel view-aware generation approach. By explicitly conditioning the generation process on a given viewpoint, our method can generate plausible shapes automatically with predicted viewpoints, or with specified viewpoints to help users better express their intentions. Extensive evaluations on various datasets demonstrate the effectiveness of our view-aware design in solving sketch ambiguities and improving…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
Topics3D Shape Modeling and Analysis · Computer Graphics and Visualization Techniques · Advanced Vision and Imaging
