SVG Generation

SVG generation research focuses on automatically creating Scalable Vector Graphics (SVGs) from various inputs, such as text descriptions, images, or audio, aiming to improve the efficiency and accessibility of vector graphics creation. Current efforts utilize a range of techniques, including diffusion models, large language models (LLMs), and novel algorithms for image vectorization and layout generation, often incorporating pre-trained models for tasks like image segmentation and semantic understanding. This field is significant because it promises to automate complex design tasks, improve the quality and diversity of generated vector graphics, and facilitate new applications in areas like web development, graphic design, and animation.