AI Carpet

Stylized pattern generation is challenging and has received increasing attention in recent studies. However, it requires further exploration in pattern generation that matches the given scenes. This paper proposes a demonstration that automatically generates carpet patterns with input home scenes and other user preferences. Besides meeting the individual needs of users and providing highly editable output, the critical challenge of the system is to make the output pattern coordinate with the input home scene, which distinguishes our approach from others. The carpets generated by the system also permit easy modification or extension to various interior design styles.