CVMar 13, 2024

iCONTRA: Toward Thematic Collection Design Via Interactive Concept Transfer

arXiv:2403.08746v13 citationsh-index: 7Has CodeCHI Extended Abstracts
Originality Incremental advance
AI Analysis

This addresses the challenge for designers in maintaining thematic consistency when creating collections, though it appears incremental as it builds on existing AI-powered tools.

The paper tackles the problem of generating cohesive thematic collections in design by introducing iCONTRA, an interactive system that enables users to explore concepts and produce consistent object concept transfers, with experimental results showing effectiveness in high-quality outputs.

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.

Code Implementations1 repo
Foundations

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