1 citations · 2 across the 4 of their papers we have counts for
5 papers
HomeWorld: A Unified Floorplan-to-Furnished Framework for Generating Controllable, Densely Interactive Whole-Home Scenes
Wenbo Li, Xiaoliang Ju, Zipeng Qin +2
Indoor scene generation is crucial for robot simulation and modern interior design. However, complex layouts together with scarce 3D scene data make learning-based generation chall…
DirectTriGS: Triplane-based Gaussian Splatting Field Representation for 3D Generation
Xiaoliang Ju, Hongsheng Li
We present DirectTriGS, a novel framework designed for 3D object generation with Gaussian Splatting (GS). GS-based rendering for 3D content has gained considerable attention recent…
DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene Generation
Xiaoliang Ju, Zhaoyang Huang, Yijin Li +3
We present DiffInDScene, a novel framework for tackling the problem of high-quality 3D indoor scene generation, which is challenging due to the complexity and diversity of the indo…
Perception Imitation: Towards Synthesis-free Simulator for Autonomous Vehicles
Xiaoliang Ju, Yiyang Sun, Yiming Hao +3
We propose a perception imitation method to simulate results of a certain perception model, and discuss a new heuristic route of autonomous driving simulator without data synthesis…
Scene-Aware Error Modeling of LiDAR/Visual Odometry for Fusion-based Vehicle Localization
Xiaoliang Ju, Donghao Xu, Huijing Zhao
Localization is an essential technique in mobile robotics. In a complex environment, it is necessary to fuse different localization modules to obtain more robust results, in which…