ViewCraft3D: High-Fidelity and View-Consistent 3D Vector Graphics Synthesis
Chuang Wang, Haitao Zhou, Ling Luo, Qian Yu

TL;DR
ViewCraft3D is a novel method for efficient, view-consistent 3D vector graphics synthesis that leverages 3D priors to produce high-quality, structurally accurate 3D sketches with reduced processing time.
Contribution
The paper introduces ViewCraft3D, a new approach combining 3D priors and geometric algorithms to generate view-consistent 3D vector graphics efficiently.
Findings
Outperforms previous methods in qualitative evaluations
Reduces computational overhead significantly
Maintains view consistency and captures essential object features
Abstract
3D vector graphics play a crucial role in various applications including 3D shape retrieval, conceptual design, and virtual reality interactions due to their ability to capture essential structural information with minimal representation. While recent approaches have shown promise in generating 3D vector graphics, they often suffer from lengthy processing times and struggle to maintain view consistency. To address these limitations, we propose ViewCraft3D (VC3D), an efficient method that leverages 3D priors to generate 3D vector graphics. Specifically, our approach begins with 3D object analysis, employs a geometric extraction algorithm to fit 3D vector graphics to the underlying structure, and applies view-consistent refinement process to enhance visual quality. Our comprehensive experiments demonstrate that VC3D outperforms previous methods in both qualitative and quantitative…
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.
Videos
Taxonomy
TopicsComputer Graphics and Visualization Techniques · Advanced Vision and Imaging · 3D Shape Modeling and Analysis
