AI-generated content (AIGC) methods aim to produce text, images, videos, 3D assets, and
other media using AI algorithms. Due to its wide range of applications and the demonstrated …

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 …

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 …

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 …

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

The field of smooth vector graphics explores the representation, creation, rasterization, and
automatic generation of light-weight image representations, frequently used for scalable …

Scalable Vector Graphics (SVG) is a popular vector image format that offers good support for
interactivity and animation. Despite its appealing characteristics, creating custom SVG …

Vector graphics are widely used in digital art and highly favored by designers due to their
scalability and layer-wise properties. However, the process of creating and editing vector …

Reverse sampling and score-distillation have emerged as main workhorses in recent years
for image manipulation using latent diffusion models (LDMs). While reverse diffusion …

Creating high-quality scientific figures can be time-consuming and challenging, even though
sketching ideas on paper is relatively easy. Furthermore, recreating existing figures that are …