  3D Gaussian Splatting (3DGS) demonstrates unparalleled superior performance
in 3D scene reconstruction. However, 3DGS heavily relies on the sharp images.
Fulfilling this requirement can be challenging in real-world scenarios
especially when the camera moves fast, which severely limits the application of
3DGS. To address these challenges, we proposed Spike Gausian Splatting
(SpikeGS), the first framework that integrates the spike streams into 3DGS
pipeline to reconstruct 3D scenes via a fast-moving bio-inspired camera. With
accumulation rasterization, interval supervision, and a specially designed
pipeline, SpikeGS extracts detailed geometry and texture from high temporal
resolution but texture lacking spike stream, reconstructs 3D scenes captured in
1 second. Extensive experiments on multiple synthetic and real-world datasets
demonstrate the superiority of SpikeGS compared with existing spike-based and
deblur 3D scene reconstruction methods. Codes and data will be released soon.
