Real-Time Intuitive AI Drawing System for Collaboration: Enhancing Human Creativity through Formal and Contextual Intent Integration

TL;DR

This paper introduces a real-time AI drawing system that combines formal and contextual intent understanding to facilitate collaborative, intuitive, and stylized visual creation, enhancing human-AI co-creative interaction.

Contribution

It presents a novel multi-stage generative pipeline integrating formal and semantic intents for real-time collaborative drawing, surpassing traditional text-based methods.

Findings

Achieves low-latency, real-time collaborative drawing

Supports multi-user synchronous co-creation

Enhances human-AI creative interaction

Abstract

This paper presents a real-time generative drawing system that interprets and integrates both formal intent - the structural, compositional, and stylistic attributes of a sketch - and contextual intent - the semantic and thematic meaning inferred from its visual content - into a unified transformation process. Unlike conventional text-prompt-based generative systems, which primarily capture high-level contextual descriptions, our approach simultaneously analyzes ground-level intuitive geometric features such as line trajectories, proportions, and spatial arrangement, and high-level semantic cues extracted via vision-language models. These dual intent signals are jointly conditioned in a multi-stage generation pipeline that combines contour-preserving structural control with style- and content-aware image synthesis. Implemented with a touchscreen-based interface and distributed inference architecture, the system achieves low-latency, two-stage transformation while supporting multi-user collaboration on shared canvases. The resulting platform enables participants, regardless of artistic expertise, to engage in synchronous, co-authored visual creation, redefining human-AI interaction as a process of co-creation and mutual enhancement.