3 papers
cs.CV2026
PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur
Gopi Raju Matta, Reddypalli Trisha, Vemunuri Divya Madhuri +1
We address the inverse problem of blind 3D scene reconstruction from extremely motion-blurred images, a scenario where traditional Structure-from-Motion (SfM) pipelines fail. Exist…
cs.CV2025
GeMS: Efficient Gaussian Splatting for Extreme Motion Blur
Gopi Raju Matta, Trisha Reddypalli, Vemunuri Divya Madhuri +1
We introduce GeMS, a framework for 3D Gaussian Splatting (3DGS) designed to handle severely motion-blurred images. State-of-the-art deblurring methods for extreme blur, such as ExB…
cs.CV2025
BeSplat: Gaussian Splatting from a Single Blurry Image and Event Stream
Gopi Raju Matta, Reddypalli Trisha, Kaushik Mitra
Novel view synthesis has been greatly enhanced by the development of radiance field methods. The introduction of 3D Gaussian Splatting (3DGS) has effectively addressed key challeng…