Xiaoyuan Lu — accepted AI-conference papers

2025

VoteSplat: Hough Voting Gaussian Splatting for 3D Scene Understanding

Minchao Jiang, Shunyu Jia, Jiaming Gu, Xiaoyuan Lu, Guangming Zhu, Anqi Dong +1

ICCV 2025poster

3D Gaussian Splatting (3DGS) has become horsepower in high-quality, real-time rendering for novel view synthesis of 3D scenes. However, existing methods focus primarily on geometric and appearance modeling, lacking deeper scene understanding while also incurring high training costs that complicate t…

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2023

UE4-NeRF:Neural Radiance Field for Real-Time Rendering of Large-Scale Scene

Jiaming Gu, Minchao Jiang, Hongsheng Li, Xiaoyuan Lu, Guangming Zhu, Syed Afaq Ali Shah +2

NeurIPS 2023poster

Neural Radiance Fields (NeRF) is a novel implicit 3D reconstruction method that shows immense potential and has been gaining increasing attention. It enables the reconstruction of 3D scenes solely from a set of photographs. However, its real-time rendering capability, especially for interactive real…

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