Text-to-image personalization aims to teach a pre-trained diffusion model to reason about
novel, user provided concepts, embedding them into new scenes guided by natural …

The development of text-to-video (T2V), ie, generating videos with a given text prompt, has
been significantly advanced in recent years. However, relying solely on text prompts often …

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 …

A creative idea is often born from transforming, combining, and modifying ideas from existing
visual examples capturing various concepts. However, one cannot simply copy the concept …

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

We propose SketchINR to advance the representation of vector sketches with implicit neural
models. A variable length vector sketch is compressed into a latent space of fixed dimension …

Modern computer vision offers a great variety of models to practitioners, and selecting a
model from multiple options for specific applications can be challenging. Conventionally …

Vision-based emergent communication (EC) aims to learn to communicate through sketches
and demystify the evolution of human communication. Ironically, previous works neglect …

Sketching serves as a versatile tool for externalizing ideas, enabling rapid exploration and
visual communication that spans various disciplines. While artificial systems have driven …