Creating thematic collections in industries demands innovative designs and cohesive concepts. Designers may face challenges in maintaining thematic consistency when drawing inspiration from existing objects, landscapes, or artifacts. While AI-powered graphic design tools offer help, they often fail to generate cohesive sets based on specific thematic concepts. In response, we introduce iCONTRA, an interactive CONcept TRAnsfer system. With a user-friendly interface, iCONTRA enables both experienced designers and novices to effortlessly explore creative design concepts and efficiently generate thematic collections. We also propose a zero-shot image editing algorithm, eliminating the need for fine-tuning models, which gradually integrates information from initial objects, ensuring consistency in the generation process without influencing the background. A pilot study suggests iCONTRA's potential to reduce designers' efforts. Experimental results demonstrate its effectiveness in producing consistent and high-quality object concept transfers. iCONTRA stands as a promising tool for innovation and creative exploration in thematic collection design. The source code will be available at: https://github.com/vdkhoi20/iCONTRA.

翻译：在工业领域，创建主题系列设计需要创新理念与连贯概念。设计师从现有物体、景观或文物中汲取灵感时，可能面临保持主题一致性的挑战。尽管AI驱动的图形设计工具能够提供帮助，但它们通常无法基于特定主题概念生成协调的系列作品。为此，我们提出iCONTRA——一个交互式概念迁移系统。通过用户友好界面，iCONTRA使经验丰富的设计师与新手均能轻松探索创意设计概念，高效生成主题系列。我们还提出一种零样本图像编辑算法，无需微调模型，该算法逐步整合初始对象信息，在生成过程中保持一致性且不影响背景。初步研究表明，iCONTRA具有降低设计师工作量的潜力。实验结果证明其在生成一致且高质量对象概念迁移方面的有效性。iCONTRA有望成为主题系列设计中创新与创意探索的有力工具。源代码将在https://github.com/vdkhoi20/iCONTRA开源。