SweepEvGS: Event-Based 3D Gaussian Splatting for Macro and Micro Radiance Field Rendering from a Single Sweep
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Abstract (arXiv)
Recent advancements in 3D Gaussian Splatting (3D-GS) have demonstrated the potential of using 3D Gaussian primitives for high-speed, high-fidelity, and cost-efficient novel view synthesis from continuously calibrated input views. However, conventional methods require high-frame-rate dense and high-quality sharp images, which are time-consuming and inefficient to capture, especially in dynamic environments. Event cameras, with their high temporal resolution and ability to capture asynchronous brightness changes, offer a promising alternative for more reliable scene reconstruction without motion blur. In this paper, we propose SweepEvGS, a novel hardware-integrated method that leverages event cameras for robust and accurate novel view synthesis across various imaging settings from a single sweep. SweepEvGS utilizes the initial static frame with dense event streams captured during a single camera sweep to effectively reconstruct detailed scene views. We also introduce different real-world hardware imaging systems for real-world data collection and evaluation for future research. We validate the robustness and efficiency of SweepEvGS through experiments in three different imaging settings: synthetic objects, real-world macro-level, and real-world micro-level view synthesis. Our results demonstrate that SweepEvGS surpasses existing methods in visual rendering quality, rendering speed, and computational efficiency, highlighting its potential for dynamic practical applications.
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 24 of its 54 references that are in the map. First posted on arXiv 16 Dec 2024.
Builds on
24 of 54 references.
References · 24
- 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
- 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,032
- 2021MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereocited by 740
- 2023Mip-Splatting: Alias-free 3D Gaussian Splattingcited by 667
- 2021RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputscited by 615
- 2019High Speed and High Dynamic Range Video with an Event Cameracited by 345
- 2019Differentiable Surface Splatting for Point-based Geometry Processingcited by 239
- 2024Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splattingcited by 221
- 2019Video to Events: Recycling Video Datasets for Event Camerascited by 165
- 2022NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)cited by 158
- 2023Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracingcited by 142
- 2024Motion-aware 3D Gaussian Splatting for Efficient Dynamic Scene Reconstructioncited by 100
12 more
- 2022EventNeRF: Neural Radiance Fields from a Single Colour Event Cameracited by 92
- 20243D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunitiescited by 78
- 2022E-NeRF: Neural Radiance Fields from a Moving Event Cameracited by 70
- 2024GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Meshcited by 51
- 2022DEVO: Depth-Event Camera Visual Odometry in Challenging Conditionscited by 36
- 2024GVA: Reconstructing Vivid 3D Gaussian Avatars from Monocular Videoscited by 22
- 2024EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splattingcited by 20
- 2024Ev-GS: Event-based Gaussian splatting for Efficient and Accurate Radiance Field Renderingcited by 18
- 2023Event Voxel Set Transformer for Spatiotemporal Representation Learning on Event Streamscited by 17
- 2022SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Datacited by 13
- 2023Neuromorphic Imaging with Joint Image Deblurring and Event Denoisingcited by 11
- 2024Neuromorphic Imaging with Super-Resolutioncited by 3
Built on by
Citing papers per year: 2025: 7; 2026: 3.
10 papers.
- 2025E-4DGS: High-Fidelity Dynamic Reconstruction from the Multi-view Event Camerascited by 7
- 2025GS2E: Gaussian Splatting is an Effective Data Generator for Event Stream Generationcited by 6
- 2025A Survey of 3D Reconstruction with Event Camerascited by 5
- 2025Dark-EvGS: Event Camera as an Eye for Radiance Field in the Darkcited by 5
- 2025Breaking the Vicious Cycle: Coherent 3D Gaussian Splatting from Sparse and Motion-Blurred Viewscited by 3
- 2026Towards Next-Generation SLAM: A Survey on 3DGS-SLAM Focusing on Performance, Robustness, and Future Directionscited by 2
- 2025DeblurSplat: SfM-free 3D Gaussian Splatting with Event Camera for Robust Deblurringcited by 1
- 2025From Events to Enhancement: A Survey on Event-Based Imaging Technologiescited by 0
- 2026Computation-Aware Event-to-Frame Reconstruction via Selective Attentioncited by 0
- 2026ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpointscited by 0
- 2026ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints9 Aug 2026
- 2026Computation-Aware Event-to-Frame Reconstruction via Selective Attention4 Jun 2026
- 2026Towards Next-Generation SLAM: A Survey on 3DGS-SLAM Focusing on Performance, Robustness, and Future Directions4 Feb 2026
- 2025Breaking the Vicious Cycle: Coherent 3D Gaussian Splatting from Sparse and Motion-Blurred Views11 Dec 2025
- 2025DeblurSplat: SfM-free 3D Gaussian Splatting with Event Camera for Robust Deblurring23 Sep 2025
- 2025E-4DGS: High-Fidelity Dynamic Reconstruction from the Multi-view Event Cameras13 Aug 2025
- 2025Dark-EvGS: Event Camera as an Eye for Radiance Field in the Dark16 Jul 2025
- 2025GS2E: Gaussian Splatting is an Effective Data Generator for Event Stream Generation21 May 2025
- 2025A Survey of 3D Reconstruction with Event Cameras13 May 2025
- 2025From Events to Enhancement: A Survey on Event-Based Imaging Technologies30 Apr 2025