6 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…
PySIFT: GPU-Resident Deterministic SIFT for Deep Learning Vision Pipelines
Sivakumar K. S., Mohammad Daniyalur Rahman, Gopi Raju Matta
A widespread assumption in local feature research holds that classical handcrafted descriptors are accuracy-limited relics best replaced by learned alternatives. We show this is wr…
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…
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…
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…
GN-FR:Generalizable Neural Radiance Fields for Flare Removal
Gopi Raju Matta, Rahul Siddartha, Rongali Simhachala Venkata Girish +2
Flare, an optical phenomenon resulting from unwanted scattering and reflections within a lens system, presents a significant challenge in imaging. The diverse patterns of flares, s…