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ロボット描画arXiv:2409.15292

SketcherX: 拡散モデルとベクトル化技術による対話型ロボット描画

SketcherX: AI-Driven Interactive Robotic drawing with Diffusion model and Vectorization Techniques

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2台の6軸ロボットアームを使い、対話しながら顔画像を取得し、微調整したStable Diffusionとベクトル化技術で人間らしいスタイルの似顔絵を2分以内に描くシステムを開発した。

著者: Jookyung Song, Mookyoung Kang, Nojun Kwak

分類: cs.RO, cs.AI

原文アブストラクト

We introduce SketcherX, a novel robotic system for personalized portrait drawing through interactive human-robot engagement. Unlike traditional robotic art systems that rely on analog printing techniques, SketcherX captures and processes facial images to produce vectorized drawings in a distinctive, human-like artistic style. The system comprises two 6-axis robotic arms : a face robot, which is equipped with a head-mounted camera and Large Language Model (LLM) for real-time interaction, and a drawing robot, utilizing a fine-tuned Stable Diffusion model, ControlNet, and Vision-Language models for dynamic, stylized drawing. Our contributions include the development of a custom Vector Low Rank Adaptation model (LoRA), enabling seamless adaptation to various artistic styles, and integrating a pair-wise fine-tuning approach to enhance stroke quality and stylistic accuracy. Experimental results demonstrate the system's ability to produce high-quality, personalized portraits within two minutes, highlighting its potential as a new paradigm in robotic creativity. This work advances the field of robotic art by positioning robots as active participants in the creative process, paving the way for future explorations in interactive, human-robot artistic collaboration.

PR本紙発行元 EmplifAI