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 evaluations, while significantly reducing computational overhead. The resulting 3D sketches maintain view consistency and effectively capture the essential characteristics of the original objects.
The overall architecture of the proposed method, showcasing the initial generation of 3D Vector Graphic (3D VG) from an input image and subsequent detail refinement using a pretrained image-to-3D model.
We thank the following excellent works:
3Doodle: Reconstructs 3D Strokes from multi-view images without sketch dataset.
Diff3DS: A novel differentiable rendering framework for generating view-consistent 3D sketch by optimizing 3D parametric curves under various supervisions
Welcome to check out our other works related to SVG:
LLM4SVG: Treats SVG coordinates as number strings and predicts decimal part for higher spatial accuracy.
SVGFusion: A native SVG generative model built on a Vector-Pixel Fusion Latent representation and Vector Space Diffusion Transformer, enabling versatile and high-quality SVG asset creation.
@article{wang2025VC3D,
author = {Chuang, Wang and Haitao, Zhou and Ling, Luo and Qian, Yu},
title = {ViewCraft3D: High-Fidelity and View-Consistent 3D Vector Graphics Synthesis},
journal = {arxiv preprint arXiv:2505.19492},
year = {2025},
}