@article{Tam2026, 
author = {Hou Tam and Shao-Kui Zhang and Yulin Jin and Han-Xi Zhu and Song-Hai Zhang},
title = {StoreSketcher: An interactive framework for planning commercial retail scene layout},
year = {2026},
journal = {Computational Visual Media},
volume = {12},
number = {2},
pages = {395-416},
keywords = {3D layout planning, interactive 3D modeling, retail space planning, retail store layout, suggestive user interfaces},
url = {https://www.sciopen.com/article/10.26599/CVM.2025.9450450},
doi = {10.26599/CVM.2025.9450450},
abstract = {Retail space planning, arranging store sections and product placements to optimize customer flow and stimulate purchases helps retailers to increase sales and enhances the customer shopping experience. It can be challenging for retailers to arrange numerous products within limited shelf space. This paper introduces StoreSketcher, an interactive tool that assists retailers in planning retail layouts efficiently at macro and micro levels by providing intelligent suggestions. We have extracted commercial relationships between products and categories, built spatial rules for commercial objects, and developed an interactive framework for synthesizing retail layouts. When the user points to shelf space in the layout, StoreSketcher evaluates the spatial significance of the location and its commercial relation to the surrounding context to present appropriate suggestions. Quantitative experiments demonstrate that StoreSketcher significantly assists in planning well-organized retail layouts. The suggestions provided by StoreSketcher not only boost cross-selling and impulse purchasing for retailers, but also enhance product findability for customers.}
}