RoboLinker: A Diffusion-model-based Matching Clothing Generator Between Humans and Companion Robots
Jing Tang, Qing Xiao, Kunxu Du, Zaiqiao Ye

TL;DR
RoboLinker is a generative system that creates matching outfits for humans and robots using diffusion models, allowing user refinement and producing stylistically coherent designs for various robot types.
Contribution
It introduces a diffusion-model-based approach for generating matching clothing for humans and robots, with an interactive interface for design refinement.
Findings
Capable of producing stylistically coherent outfits
Works with humanoid and pet-like robots
Allows user interaction for design refinement
Abstract
We present RoboLinker, a generative design system that creates matching outfits for humans and their robots. Using a diffusion-based model, the system takes a robot image and a style prompt from users as input, and outputs a human outfit that visually complements the robot's attire. Through an interactive interface, users can refine the generated designs. We evaluate RoboLinker with both humanoid and pet-like robots, demonstrating its capacity to produce stylistically coherent and emotionally resonant results.
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