**Event Stream Assisted Gaussian Splatting (EvaGaussians)** is a novel framework that integrates event streams from an event camera to assist in reconstructing high-quality 3D Gaussian Splatting (3D-GS) from blurry images. The method leverages the high temporal resolution and dynamic range of event cameras to model the formation process of motion-blurred images and guide the deblurring reconstruction of 3D-GS. By jointly optimizing 3D-GS parameters and camera motion trajectories during exposure time, EvaGaussians can robustly recover intricate details and produce high-fidelity novel views. The method is evaluated on both synthetic and real-world datasets, demonstrating superior performance compared to existing techniques in restoring fine details and generating novel views. The code and datasets will be released for future research.**Event Stream Assisted Gaussian Splatting (EvaGaussians)** is a novel framework that integrates event streams from an event camera to assist in reconstructing high-quality 3D Gaussian Splatting (3D-GS) from blurry images. The method leverages the high temporal resolution and dynamic range of event cameras to model the formation process of motion-blurred images and guide the deblurring reconstruction of 3D-GS. By jointly optimizing 3D-GS parameters and camera motion trajectories during exposure time, EvaGaussians can robustly recover intricate details and produce high-fidelity novel views. The method is evaluated on both synthetic and real-world datasets, demonstrating superior performance compared to existing techniques in restoring fine details and generating novel views. The code and datasets will be released for future research.