CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders

Kevin Frans, Lisa Soros, Olaf Witkowski

Keywords: image synthesis, clip, computer vision, language to text, creativity, art

Abstract: 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 is used as a metric for maximizing similarity between the given description and a generated drawing. Crucially, CLIPDraw operates over vector strokes rather than pixel images, which biases drawings towards simpler human-recognizable shapes. Results compare CLIPDraw with other synthesis-through-optimization methods, as well as highlight various interesting behaviors of CLIPDraw.

TL;DR: CLIPDraw is an algorithm that synthesizes novel drawings from natural language input.

Community Implementations: [ 1 code implementation](https://www.catalyzex.com/paper/clipdraw-exploring-text-to-drawing-synthesis/code)