← Search

Vijay Rengarajan

5 accepted papers

2023

Learning Neural Duplex Radiance Fields for Real-Time View Synthesis

CVPR 2023poster

Neural radiance fields (NeRFs) enable novel view synthesis with unprecedented visual quality. However, to render photorealistic images, NeRFs require hundreds of deep multilayer perceptron (MLP) evaluations -- for each pixel. This is prohibitively expensive and makes real-time rendering infeasible,…

Cited by 28SourcePDFScholar
2022

Learning Spatio-Temporal Downsampling for Effective Video Upscaling

ECCV 2022poster

"Downsampling is one of the most basic image processing operations. Improper spatio-temporal downsampling applied on videos can cause aliasing issues such as moiré patterns in space and the wagon-wheel effect in time. Consequently, the inverse task of upscaling a low-resolution, low frame-rate video…

Cited by 7SourcePDFScholar
2016

From Bows to Arrows: Rolling Shutter Rectification of Urban Scenes

CVPR 2016poster

The rule of perspectivity that 'straight-lines-must-remain-straight' is easily inflected in CMOS cameras by distortions introduced by motion. Lines can be rendered as curves due to the row-wise exposure mechanism known as rolling shutter (RS). We solve the problem of correcting distortions arising f…

Cited by 70PDFScholar