Vahe1994/Deep-Vectorization-of-Technical-Drawings

Implementation code for our paper "Drawing2CAD: Sequence-to-Sequence Learning for CAD Generation from Vector Drawings"

Differentiable Vector Graphics Rasterization

StarVector is a foundation model for SVG generation that transforms vectorization into a code generation task. Using a vision-language modeling architecture, StarVector processes both visual and textual inputs to produce high-quality SVG code with remarkable precision.

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

Hierarchical SVG Tokenization: Learning Compact Visual Programs for Scalable Vector Graphics Modeling

VectorCraft: An open-source, vector art tool written by scratch in pure Rust

[ICLR 2026] Official repository of "InternSVG: Towards Unified SVG Tasks with Multimodal Large Language Models".