most citedInteractive Interior Design Recommendation via Coarse-to-fine Multimodal Reinforcement Learning

12 citations · 12 across the 1 of their papers we have counts for

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1 paper

cs.MM2023★ 12 cited

Interactive Interior Design Recommendation via Coarse-to-fine Multimodal Reinforcement Learning

He Zhang, Ying Sun, Weiyu Guo +4

Personalized interior decoration design often incurs high labor costs. Recent efforts in developing intelligent interior design systems have focused on generating textual requireme…