most citedNative and Compact Structured Latents for 3D Generation

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20254 cited

Native and Compact Structured Latents for 3D Generation

Jianfeng Xiang, Xiaoxue Chen, Sicheng Xu +8

Recent advancements in 3D generative modeling have significantly improved the generation realism, yet the field is still hampered by existing representations, which struggle to cap…

cs.CV20202 cited

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…

cs.CV2020

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…

cs.CV20201 cited

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…

cs.CV2020

Adversarial Model for Rotated Indoor Scenes Planning

Xinhan Di, Pengqian Yu, Hong Zhu +3

In this paper, we propose an adversarial model for producing furniture layout for interior scene synthesis when the interior room is rotated. The proposed model combines a conditio…