Search Results for author: Yuanbo Xiangli

Found 9 papers, 2 papers with code

GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction

no code implementations25 Mar 2024 Mulin Yu, Tao Lu, Linning Xu, Lihan Jiang, Yuanbo Xiangli, Bo Dai

We show on diverse scenes that our design unlocks the potential for more accurate and detailed surface reconstructions, and at the meantime benefits 3DGS rendering with structures that are more aligned with the underlying geometry.

Neural Rendering

Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering

1 code implementation30 Nov 2023 Tao Lu, Mulin Yu, Linning Xu, Yuanbo Xiangli, LiMin Wang, Dahua Lin, Bo Dai

Neural rendering methods have significantly advanced photo-realistic 3D scene rendering in various academic and industrial applications.

Neural Rendering

MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond

no code implementations ICCV 2023 Yixuan Li, Lihan Jiang, Linning Xu, Yuanbo Xiangli, Zhenzhi Wang, Dahua Lin, Bo Dai

While most of recent neural rendering works focus on objects and small-scale scenes, developing neural rendering methods for city-scale scenes is of great potential in many real-world applications.

Neural Rendering

Grid-guided Neural Radiance Fields for Large Urban Scenes

no code implementations CVPR 2023 Linning Xu, Yuanbo Xiangli, Sida Peng, Xingang Pan, Nanxuan Zhao, Christian Theobalt, Bo Dai, Dahua Lin

An alternative solution is to use a feature grid representation, which is computationally efficient and can naturally scale to a large scene with increased grid resolutions.

AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation

no code implementations ICCV 2023 Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Bo Dai, Dahua Lin

Traditional modeling pipelines keep an asset library storing unique object templates, which is both versatile and memory efficient in practice.

Novel View Synthesis Object

OmniCity: Omnipotent City Understanding with Multi-level and Multi-view Images

no code implementations CVPR 2023 Weijia Li, Yawen Lai, Linning Xu, Yuanbo Xiangli, Jinhua Yu, Conghui He, Gui-Song Xia, Dahua Lin

More precisely, the OmniCity contains multi-view satellite images as well as street-level panorama and mono-view images, constituting over 100K pixel-wise annotated images that are well-aligned and collected from 25K geo-locations in New York City.

Instance Segmentation Segmentation +1

BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering

no code implementations10 Dec 2021 Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, Dahua Lin

The wide span of viewing positions within these scenes yields multi-scale renderings with very different levels of detail, which poses great challenges to neural radiance field and biases it towards compromised results.

Real or Not Real, that is the Question

2 code implementations ICLR 2020 Yuanbo Xiangli, Yubin Deng, Bo Dai, Chen Change Loy, Dahua Lin

While generative adversarial networks (GAN) have been widely adopted in various topics, in this paper we generalize the standard GAN to a new perspective by treating realness as a random variable that can be estimated from multiple angles.

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