Abstraction is at the heart of sketching due to the simple and minimal nature of line
drawings. Abstraction entails identifying the essential visual properties of an object or scene …

Diffusion models have shown impressive results in text-to-image synthesis. Using massive
datasets of captioned images, diffusion models learn to generate raster images of highly …

CLIPDraw is an algorithm that synthesizes novel drawings from natural language input. It
does not require any additional training; rather, a pre-trained CLIP language-image encoder …

Even though trained mainly on images, we discover that pretrained diffusion models show
impressive power in guiding sketch synthesis. In this paper, we present DiffSketcher, an …

A word-as-image is a semantic typography technique where a word illustration presents a
visualization of the meaning of the word, while also preserving its readability. We present a …

This paper presents an unpaired method for creating line drawings from photographs.
Current methods often rely on high quality paired datasets to generate line drawings …

Vector graphics are widely used to represent fonts, logos, digital artworks, and graphic
designs. But, while a vast body of work has focused on generative algorithms for raster …

In this paper, we present a method for converting a given scene image into a sketch using
different types and multiple levels of abstraction. We distinguish between two types of …

Recently text-guided scalable vector graphics (SVGs) synthesis has shown promise in
domains such as iconography and sketch. However existing text-to-SVG generation …

Image rasterization is a mature technique in computer graphics, while image vectorization,
the reverse path of rasterization, remains a major challenge. Recent ad-vanced deep …