City-on-Web: Real-time Neural Rendering of Large-scale Scenes on the Web
Existing neural radiance field-based methods can achieve real-time rendering of small scenes on the web platform. However, extending these methods to large-scale scenes still poses significant challenges due to limited resources in computation, memory, and bandwidth. In this paper, we propose City-on-Web, the first method for real-time rendering of large-scale scenes on the web. We propose a block-based volume rendering method to guarantee 3D consistency and correct occlusion between blocks, and introduce a Level-of-Detail strategy combined with dynamic loading/unloading of resources to significantly reduce memory demands. Our system achieves real-time rendering of large-scale scenes at approximately 32FPS with RTX 3060 GPU on the web and maintains rendering quality comparable to the current state-of-the-art novel view synthesis methods.
Code (1)
Tasks
3D Scene ReconstructionGPUManagementNeural RenderingNovel View SynthesisSimilar Papers 제목 키워드 기반
CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians
The advancement of real-time 3D scene reconstruction and novel view synthesis has been significantly propelled by 3D Gaussian Splatting (3DGS). However, effectively training large-scale 3DGS and rendering it in real-time…
3DGS3D Scene ReconstructionNovel View SynthesisMatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond
Neural radiance fields (NeRF) and its subsequent variants have led to remarkable progress in neural rendering. While most of recent neural rendering works focus on objects and small-scale scenes, developing neural render…
NeRFNeural RenderingNeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction
While NeRF has shown great success for neural reconstruction and rendering, its limited MLP capacity and long per-scene optimization times make it challenging to model large-scale indoor scenes. In contrast, classical 3D…
3D ReconstructionNeRFCityGo: Lightweight Urban Modeling and Rendering with Proxy Buildings and Residual Gaussians
Accurate and efficient modeling of large-scale urban scenes is critical for applications such as AR navigation, UAV based inspection, and smart city digital twins. While aerial imagery offers broad coverage and complemen…
3DGSLODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering
In this work, we present a novel level-of-detail (LOD) method for 3D Gaussian Splatting that enables real-time rendering of large-scale scenes on memory-constrained devices. Our approach introduces a hierarchical LOD rep…
3DGSGPUNeRF