10 papers
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…
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…
PhotonSplat: 3D Scene Reconstruction and Colorization from SPAD Sensors
Sai Sri Teja, Sreevidya Chintalapati, Vinayak Gupta +4
Advances in 3D reconstruction using neural rendering have enabled high-quality 3D capture. However, they often fail when the input imagery is corrupted by motion blur, due to fast…
SPC to 3D: Novel View Synthesis from Binary SPC via I2I translation
Sumit Sharma, Gopi Raju Matta, Kaushik Mitra
Single Photon Avalanche Diodes (SPADs) represent a cutting-edge imaging technology, capable of detecting individual photons with remarkable timing precision. Building on this sensi…
RT-X Net: RGB-Thermal cross attention network for Low-Light Image Enhancement
Raman Jha, Adithya Lenka, Mani Ramanagopal +2
In nighttime conditions, high noise levels and bright illumination sources degrade image quality, making low-light image enhancement challenging. Thermal images provide complementa…
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…