15 citations · 24 across the 8 of their papers we have counts for
11 papers
Hierarchical Reinforcement Learning for Furniture Layout in Virtual Indoor Scenes
Xinhan Di, Pengqian Yu
In real life, the decoration of 3D indoor scenes through designing furniture layout provides a rich experience for people. In this paper, we explore the furniture layout task as a…
Multi-Agent Reinforcement Learning of 3D Furniture Layout Simulation in Indoor Graphics Scenes
Xinhan Di, Pengqian Yu
In the industrial interior design process, professional designers plan the furniture layout to achieve a satisfactory 3D design for selling. In this paper, we explore the interior…
Deep Reinforcement Learning for Producing Furniture Layout in Indoor Scenes
Xinhan Di, Pengqian Yu
In the industrial interior design process, professional designers plan the size and position of furniture in a room to achieve a satisfactory design for selling. In this paper, we…
End-to-end Generative Floor-plan and Layout with Attributes and Relation Graph
Xinhan Di, Pengqian Yu, Danfeng Yang +3
In this paper, we propose an end-end model for producing furniture layout for interior scene synthesis from the random vector. This proposed model is aimed to support professional…
Deep Layout of Custom-size Furniture through Multiple-domain Learning
Xinhan Di, Pengqian Yu, Danfeng Yang +3
In this paper, we propose a multiple-domain model for producing a custom-size furniture layout in the interior scene. This model is aimed to support professional interior designers…
Structural Plan of Indoor Scenes with Personalized Preferences
Xinhan Di, Pengqian Yu, Hong Zhu +3
In this paper, we propose an assistive model that supports professional interior designers to produce industrial interior decoration solutions and to meet the personalized preferen…