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 …

There is a growing interest in the area of machine learning and creativity. This survey
presents an overview of the history and the state of the art of computational creativity …

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 …

We propose a novel type of map for visual navigation, a renderable neural radiance map
(RNR-Map), which is designed to contain the overall visual information of a 3D environment …

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 …

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

This work explores a novel image geometric abstraction paradigm based on assembly out of
a pool of pre-defined simple parametric primitives (ie, triangle, rectangle, circle and …

Abstract Recently, the Deep Learning community has become interested in evolutionary
optimization (EO) as a means to address hard optimization problems, eg meta-learning …

Evolutionary computation has been shown to be a highly effective method for training neural
networks, particularly when employed at scale on CPU clusters. Recent work have also …