Wired Perspectives: Multi-View Wire Art Embraces Generative AI
Zhiyu Qu Lan Yang Honggang Zhang Tao Xiang Kaiyue Pang Yi-Zhe Song
Creating multi-view wire art (MVWA), a static 3D sculpture with diverse
interpretations from different viewpoints, is a complex task even for skilled
artists. In response, we present DreamWire, an AI system enabling everyone to
craft MVWA easily. Users express their vision through text prompts or
scribbles, freeing them from intricate 3D wire organisation. Our approach
synergises 3D B\'ezier curves, Prim's algorithm, and knowledge distillation
from diffusion models or their variants (e.g., ControlNet). This blend enables
the system to represent 3D wire art, ensuring spatial continuity and overcoming
data scarcity. Extensive evaluation and analysis are conducted to shed insight
on the inner workings of the proposed system, including the trade-off between
connectivity and visual aesthetics.