English

PartStickers: Generating Parts of Objects for Rapid Prototyping

Computer Vision and Pattern Recognition 2025-04-09 v1

Abstract

Design prototyping involves creating mockups of products or concepts to gather feedback and iterate on ideas. While prototyping often requires specific parts of objects, such as when constructing a novel creature for a video game, existing text-to-image methods tend to only generate entire objects. To address this, we propose a novel task and method of ``part sticker generation", which entails generating an isolated part of an object on a neutral background. Experiments demonstrate our method outperforms state-of-the-art baselines with respect to realism and text alignment, while preserving object-level generation capabilities. We publicly share our code and models to encourage community-wide progress on this new task: https://partsticker.github.io.

Keywords

Cite

@article{arxiv.2504.05508,
  title  = {PartStickers: Generating Parts of Objects for Rapid Prototyping},
  author = {Mo Zhou and Josh Myers-Dean and Danna Gurari},
  journal= {arXiv preprint arXiv:2504.05508},
  year   = {2025}
}

Comments

Accepted to CVPR CVEU workshop 2025